Comparative Evaluation of 19 Reverse Transcription Loop-Mediated Isothermal Amplification Assays for Detection of SARS-CoV-2 Article Swipe
Yajuan Dong
,
Xiuming Wu
,
Shenwei Li
,
Renfei Lu
,
Zhenzhou Wan
,
Jianru Qin
,
Guoying Yu
,
Xia Jin
,
Chiyu Zhang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.07.22.20159525
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.07.22.20159525
Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has caused a global pandemics. To facilitate the detection of SARS-CoV-2 infection, various RT-LAMP assays using 19 sets of primers had been developed, but never been compared. We performed comparative evaluation of the 19 sets of primers using 4 RNA standards and 29 clinical samples from COVID-19 patients. Six of 15 sets of primers were firstly identified to have faster amplification when tested with four RNA standards, and were further subjected to parallel comparison with the remaining four primer sets using 29 clinical samples. Among these 10 primer sets, Set-4 had the highest positive detection rate of SARS-CoV-2 (82.8%), followed by Set-10, Set-11, Set-13 and Set-14 (75.9%), and Set-14 showed the fastest amplification speed (< 8.5 minutes), followed by Set-17 (< 12.5 minutes). Based on the overall detection performance, Set-4, Set-10, Set-11, Set-13, Set-14 and Set-17 that target Nsp3, S, S, E, N and N gene regions of SARS-CoV-2, respectively, are determined to be better than the other primer sets. Two RT-LAMP assays with the Set-14 primers in combination with any one of four other primer sets (Set-4, Set-10, Set-11, and Set-13) are recommended to be used in the COVID-19 surveillance.
Related Topics
Concepts
Primer (cosmetics)
Loop-mediated isothermal amplification
Set (abstract data type)
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Biology
Virology
Medicine
Computer science
Chemistry
Genetics
DNA
Infectious disease (medical specialty)
Disease
Pathology
Organic chemistry
Programming language
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.07.22.20159525
- https://www.medrxiv.org/content/medrxiv/early/2020/07/24/2020.07.22.20159525.full.pdf
- OA Status
- green
- Cited By
- 13
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3045022212
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3045022212Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2020.07.22.20159525Digital Object Identifier
- Title
-
Comparative Evaluation of 19 Reverse Transcription Loop-Mediated Isothermal Amplification Assays for Detection of SARS-CoV-2Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-24Full publication date if available
- Authors
-
Yajuan Dong, Xiuming Wu, Shenwei Li, Renfei Lu, Zhenzhou Wan, Jianru Qin, Guoying Yu, Xia Jin, Chiyu ZhangList of authors in order
- Landing page
-
https://doi.org/10.1101/2020.07.22.20159525Publisher landing page
- PDF URL
-
https://www.medrxiv.org/content/medrxiv/early/2020/07/24/2020.07.22.20159525.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.medrxiv.org/content/medrxiv/early/2020/07/24/2020.07.22.20159525.full.pdfDirect OA link when available
- Concepts
-
Primer (cosmetics), Loop-mediated isothermal amplification, Set (abstract data type), Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Biology, Virology, Medicine, Computer science, Chemistry, Genetics, DNA, Infectious disease (medical specialty), Disease, Pathology, Organic chemistry, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 1, 2022: 4, 2021: 4, 2020: 2Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3045022212 |
|---|---|
| doi | https://doi.org/10.1101/2020.07.22.20159525 |
| ids.doi | https://doi.org/10.1101/2020.07.22.20159525 |
| ids.mag | 3045022212 |
| ids.openalex | https://openalex.org/W3045022212 |
| fwci | 1.03353566 |
| type | preprint |
| title | Comparative Evaluation of 19 Reverse Transcription Loop-Mediated Isothermal Amplification Assays for Detection of SARS-CoV-2 |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11393 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2204 |
| topics[0].subfield.display_name | Biomedical Engineering |
| topics[0].display_name | Biosensors and Analytical Detection |
| topics[1].id | https://openalex.org/T11754 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9998999834060669 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2725 |
| topics[1].subfield.display_name | Infectious Diseases |
| topics[1].display_name | SARS-CoV-2 detection and testing |
| topics[2].id | https://openalex.org/T10207 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9997000098228455 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Advanced biosensing and bioanalysis techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2777563447 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6971286535263062 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7243397 |
| concepts[0].display_name | Primer (cosmetics) |
| concepts[1].id | https://openalex.org/C60635243 |
| concepts[1].level | 3 |
| concepts[1].score | 0.627820611000061 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q6675780 |
| concepts[1].display_name | Loop-mediated isothermal amplification |
| concepts[2].id | https://openalex.org/C177264268 |
| concepts[2].level | 2 |
| concepts[2].score | 0.566626787185669 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[2].display_name | Set (abstract data type) |
| concepts[3].id | https://openalex.org/C3008058167 |
| concepts[3].level | 4 |
| concepts[3].score | 0.45658746361732483 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q84263196 |
| concepts[3].display_name | Coronavirus disease 2019 (COVID-19) |
| concepts[4].id | https://openalex.org/C3007834351 |
| concepts[4].level | 5 |
| concepts[4].score | 0.42435958981513977 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q82069695 |
| concepts[4].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| concepts[5].id | https://openalex.org/C86803240 |
| concepts[5].level | 0 |
| concepts[5].score | 0.3948773443698883 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[5].display_name | Biology |
| concepts[6].id | https://openalex.org/C159047783 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3905748128890991 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7215 |
| concepts[6].display_name | Virology |
| concepts[7].id | https://openalex.org/C71924100 |
| concepts[7].level | 0 |
| concepts[7].score | 0.2859199643135071 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[7].display_name | Medicine |
| concepts[8].id | https://openalex.org/C41008148 |
| concepts[8].level | 0 |
| concepts[8].score | 0.2858126759529114 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[8].display_name | Computer science |
| concepts[9].id | https://openalex.org/C185592680 |
| concepts[9].level | 0 |
| concepts[9].score | 0.23679277300834656 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[9].display_name | Chemistry |
| concepts[10].id | https://openalex.org/C54355233 |
| concepts[10].level | 1 |
| concepts[10].score | 0.20240870118141174 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[10].display_name | Genetics |
| concepts[11].id | https://openalex.org/C552990157 |
| concepts[11].level | 2 |
| concepts[11].score | 0.1406688392162323 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q7430 |
| concepts[11].display_name | DNA |
| concepts[12].id | https://openalex.org/C524204448 |
| concepts[12].level | 3 |
| concepts[12].score | 0.09757521748542786 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q788926 |
| concepts[12].display_name | Infectious disease (medical specialty) |
| concepts[13].id | https://openalex.org/C2779134260 |
| concepts[13].level | 2 |
| concepts[13].score | 0.08978825807571411 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[13].display_name | Disease |
| concepts[14].id | https://openalex.org/C142724271 |
| concepts[14].level | 1 |
| concepts[14].score | 0.06070104241371155 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[14].display_name | Pathology |
| concepts[15].id | https://openalex.org/C178790620 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11351 |
| concepts[15].display_name | Organic chemistry |
| concepts[16].id | https://openalex.org/C199360897 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[16].display_name | Programming language |
| keywords[0].id | https://openalex.org/keywords/primer |
| keywords[0].score | 0.6971286535263062 |
| keywords[0].display_name | Primer (cosmetics) |
| keywords[1].id | https://openalex.org/keywords/loop-mediated-isothermal-amplification |
| keywords[1].score | 0.627820611000061 |
| keywords[1].display_name | Loop-mediated isothermal amplification |
| keywords[2].id | https://openalex.org/keywords/set |
| keywords[2].score | 0.566626787185669 |
| keywords[2].display_name | Set (abstract data type) |
| keywords[3].id | https://openalex.org/keywords/coronavirus-disease-2019 |
| keywords[3].score | 0.45658746361732483 |
| keywords[3].display_name | Coronavirus disease 2019 (COVID-19) |
| keywords[4].id | https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2 |
| keywords[4].score | 0.42435958981513977 |
| keywords[4].display_name | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
| keywords[5].id | https://openalex.org/keywords/biology |
| keywords[5].score | 0.3948773443698883 |
| keywords[5].display_name | Biology |
| keywords[6].id | https://openalex.org/keywords/virology |
| keywords[6].score | 0.3905748128890991 |
| keywords[6].display_name | Virology |
| keywords[7].id | https://openalex.org/keywords/medicine |
| keywords[7].score | 0.2859199643135071 |
| keywords[7].display_name | Medicine |
| keywords[8].id | https://openalex.org/keywords/computer-science |
| keywords[8].score | 0.2858126759529114 |
| keywords[8].display_name | Computer science |
| keywords[9].id | https://openalex.org/keywords/chemistry |
| keywords[9].score | 0.23679277300834656 |
| keywords[9].display_name | Chemistry |
| keywords[10].id | https://openalex.org/keywords/genetics |
| keywords[10].score | 0.20240870118141174 |
| keywords[10].display_name | Genetics |
| keywords[11].id | https://openalex.org/keywords/dna |
| keywords[11].score | 0.1406688392162323 |
| keywords[11].display_name | DNA |
| keywords[12].id | https://openalex.org/keywords/infectious-disease |
| keywords[12].score | 0.09757521748542786 |
| keywords[12].display_name | Infectious disease (medical specialty) |
| keywords[13].id | https://openalex.org/keywords/disease |
| keywords[13].score | 0.08978825807571411 |
| keywords[13].display_name | Disease |
| keywords[14].id | https://openalex.org/keywords/pathology |
| keywords[14].score | 0.06070104241371155 |
| keywords[14].display_name | Pathology |
| language | en |
| locations[0].id | doi:10.1101/2020.07.22.20159525 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | https://www.medrxiv.org/content/medrxiv/early/2020/07/24/2020.07.22.20159525.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2020.07.22.20159525 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5039728836 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Yajuan Dong |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].raw_affiliation_string | Shnghi Public Helth Clinicl Center, Fudn University, Shnghi 201508, Chin |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I75955062 |
| authorships[0].affiliations[1].raw_affiliation_string | College of Life Sciences, Henan Normal University, Xinxiang 453007, China |
| authorships[0].institutions[0].id | https://openalex.org/I75955062 |
| authorships[0].institutions[0].ror | https://ror.org/00s13br28 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I75955062 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Henan Normal University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yajuan Dong |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Life Sciences, Henan Normal University, Xinxiang 453007, China, Shnghi Public Helth Clinicl Center, Fudn University, Shnghi 201508, Chin |
| authorships[1].author.id | https://openalex.org/A5085119865 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-2644-1069 |
| authorships[1].author.display_name | Xiuming Wu |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210096219 |
| authorships[1].affiliations[0].raw_affiliation_string | Pathogen Disovery and Evolution Unit, Institut Pasteur of Shanghai, Chinese Aademy of Sienes, Shanghai 200031, China |
| authorships[1].institutions[0].id | https://openalex.org/I4210096219 |
| authorships[1].institutions[0].ror | https://ror.org/00w78qy64 |
| authorships[1].institutions[0].type | nonprofit |
| authorships[1].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210096219 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Institut Pasteur of Shanghai |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xiuming Wu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Pathogen Disovery and Evolution Unit, Institut Pasteur of Shanghai, Chinese Aademy of Sienes, Shanghai 200031, China |
| authorships[2].author.id | https://openalex.org/A5009604367 |
| authorships[2].author.orcid | https://orcid.org/0009-0007-9293-9443 |
| authorships[2].author.display_name | Shenwei Li |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210095531 |
| authorships[2].affiliations[0].raw_affiliation_string | Shanghai International Travel Healthcare Center, Shanghai 200335, China |
| authorships[2].institutions[0].id | https://openalex.org/I4210095531 |
| authorships[2].institutions[0].ror | https://ror.org/00n7f0287 |
| authorships[2].institutions[0].type | other |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210095531 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Shenzhen International Travel Health Care Center |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Shenwei Li |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Shanghai International Travel Healthcare Center, Shanghai 200335, China |
| authorships[3].author.id | https://openalex.org/A5112722480 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4980-3539 |
| authorships[3].author.display_name | Renfei Lu |
| authorships[3].affiliations[0].raw_affiliation_string | Clinical Laboratory, Nantong Third Hospital Affiliatd to Nantong Univrsity, Nantong 226006, China |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Renfei Lu |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Clinical Laboratory, Nantong Third Hospital Affiliatd to Nantong Univrsity, Nantong 226006, China |
| authorships[4].author.id | https://openalex.org/A5034176017 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-9624-4226 |
| authorships[4].author.display_name | Zhenzhou Wan |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210106538 |
| authorships[4].affiliations[0].raw_affiliation_string | Medical Laboratory o Taizhou Fourth People's Hospital, Taizhou 225300, China |
| authorships[4].institutions[0].id | https://openalex.org/I4210106538 |
| authorships[4].institutions[0].ror | https://ror.org/01m1xx561 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210106538 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Taizhou Fourth People's Hospital |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Zhenzhou Wan |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Medical Laboratory o Taizhou Fourth People's Hospital, Taizhou 225300, China |
| authorships[5].author.id | https://openalex.org/A5110605696 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Jianru Qin |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I75955062 |
| authorships[5].affiliations[0].raw_affiliation_string | College of Life Sciences, Henan Normal University, Xinxiang 453007, China |
| authorships[5].institutions[0].id | https://openalex.org/I75955062 |
| authorships[5].institutions[0].ror | https://ror.org/00s13br28 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I75955062 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Henan Normal University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Jianru Qin |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | College of Life Sciences, Henan Normal University, Xinxiang 453007, China |
| authorships[6].author.id | https://openalex.org/A5021065130 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-4124-1359 |
| authorships[6].author.display_name | Guoying Yu |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I75955062 |
| authorships[6].affiliations[0].raw_affiliation_string | College of Life Sciences, Henan Normal University, Xinxiang 453007, China |
| authorships[6].institutions[0].id | https://openalex.org/I75955062 |
| authorships[6].institutions[0].ror | https://ror.org/00s13br28 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I75955062 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Henan Normal University |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Guoying Yu |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | College of Life Sciences, Henan Normal University, Xinxiang 453007, China |
| authorships[7].author.id | https://openalex.org/A5053615892 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-4185-1966 |
| authorships[7].author.display_name | Xia Jin |
| authorships[7].affiliations[0].raw_affiliation_string | Shnghi Public Helth Clinicl Center, Fudn University, Shnghi 201508, Chin |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Xia Jin |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Shnghi Public Helth Clinicl Center, Fudn University, Shnghi 201508, Chin |
| authorships[8].author.id | https://openalex.org/A5058829071 |
| authorships[8].author.orcid | https://orcid.org/0000-0001-8735-9857 |
| authorships[8].author.display_name | Chiyu Zhang |
| authorships[8].countries | CN |
| authorships[8].affiliations[0].raw_affiliation_string | Shnghi Public Helth Clinicl Center, Fudn University, Shnghi 201508, Chin |
| authorships[8].affiliations[1].institution_ids | https://openalex.org/I4210096219 |
| authorships[8].affiliations[1].raw_affiliation_string | Pathogen Disovery and Evolution Unit, Institut Pasteur of Shanghai, Chinese Aademy of Sienes, Shanghai 200031, China |
| authorships[8].institutions[0].id | https://openalex.org/I4210096219 |
| authorships[8].institutions[0].ror | https://ror.org/00w78qy64 |
| authorships[8].institutions[0].type | nonprofit |
| authorships[8].institutions[0].lineage | https://openalex.org/I19820366, https://openalex.org/I4210096219 |
| authorships[8].institutions[0].country_code | CN |
| authorships[8].institutions[0].display_name | Institut Pasteur of Shanghai |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | Chiyu Zhang |
| authorships[8].is_corresponding | True |
| authorships[8].raw_affiliation_strings | Pathogen Disovery and Evolution Unit, Institut Pasteur of Shanghai, Chinese Aademy of Sienes, Shanghai 200031, China, Shnghi Public Helth Clinicl Center, Fudn University, Shnghi 201508, Chin |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.medrxiv.org/content/medrxiv/early/2020/07/24/2020.07.22.20159525.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Comparative Evaluation of 19 Reverse Transcription Loop-Mediated Isothermal Amplification Assays for Detection of SARS-CoV-2 |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11393 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2204 |
| primary_topic.subfield.display_name | Biomedical Engineering |
| primary_topic.display_name | Biosensors and Analytical Detection |
| related_works | https://openalex.org/W4205317059, https://openalex.org/W4224279380, https://openalex.org/W3176864053, https://openalex.org/W4206651655, https://openalex.org/W4292098121, https://openalex.org/W4210433452, https://openalex.org/W3036314732, https://openalex.org/W3084808338, https://openalex.org/W3196306939, https://openalex.org/W4285395912 |
| cited_by_count | 13 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 4 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 4 |
| counts_by_year[4].year | 2020 |
| counts_by_year[4].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2020.07.22.20159525 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | https://www.medrxiv.org/content/medrxiv/early/2020/07/24/2020.07.22.20159525.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2020.07.22.20159525 |
| primary_location.id | doi:10.1101/2020.07.22.20159525 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | https://www.medrxiv.org/content/medrxiv/early/2020/07/24/2020.07.22.20159525.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2020.07.22.20159525 |
| publication_date | 2020-07-24 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W3001897055, https://openalex.org/W3004280078, https://openalex.org/W3012991084, https://openalex.org/W3005417802, https://openalex.org/W3003637715, https://openalex.org/W2942745415, https://openalex.org/W3011969828, https://openalex.org/W2105275554, https://openalex.org/W3013576986, https://openalex.org/W3017281110, https://openalex.org/W3016615900, https://openalex.org/W3014222358, https://openalex.org/W3015040045, https://openalex.org/W3010854533, https://openalex.org/W3009412220, https://openalex.org/W3012527769, https://openalex.org/W3010323736, https://openalex.org/W3122807643, https://openalex.org/W2944548358, https://openalex.org/W2983321172, https://openalex.org/W3010604545, https://openalex.org/W3006961006, https://openalex.org/W3013776441, https://openalex.org/W3008028633, https://openalex.org/W89741002, https://openalex.org/W2073600962, https://openalex.org/W3033338463, https://openalex.org/W3034434235 |
| referenced_works_count | 28 |
| abstract_inverted_index.4 | 46 |
| abstract_inverted_index.N | 150, 152 |
| abstract_inverted_index.a | 10 |
| abstract_inverted_index.10 | 94 |
| abstract_inverted_index.15 | 58 |
| abstract_inverted_index.19 | 24, 41 |
| abstract_inverted_index.29 | 50, 89 |
| abstract_inverted_index.E, | 149 |
| abstract_inverted_index.S, | 147, 148 |
| abstract_inverted_index.To | 13 |
| abstract_inverted_index.We | 35 |
| abstract_inverted_index.be | 161, 193 |
| abstract_inverted_index.by | 6, 108, 126 |
| abstract_inverted_index.in | 175, 195 |
| abstract_inverted_index.of | 17, 26, 39, 43, 57, 60, 104, 155, 180 |
| abstract_inverted_index.on | 132 |
| abstract_inverted_index.to | 65, 79, 160, 192 |
| abstract_inverted_index.8.5 | 123 |
| abstract_inverted_index.RNA | 47, 73 |
| abstract_inverted_index.Six | 56 |
| abstract_inverted_index.Two | 168 |
| abstract_inverted_index.and | 49, 75, 112, 115, 142, 151, 188 |
| abstract_inverted_index.any | 178 |
| abstract_inverted_index.are | 158, 190 |
| abstract_inverted_index.but | 31 |
| abstract_inverted_index.had | 28, 98 |
| abstract_inverted_index.has | 8 |
| abstract_inverted_index.one | 179 |
| abstract_inverted_index.the | 15, 40, 83, 99, 118, 133, 164, 172, 196 |
| abstract_inverted_index.12.5 | 129 |
| abstract_inverted_index.2019 | 3 |
| abstract_inverted_index.been | 29, 33 |
| abstract_inverted_index.four | 72, 85, 181 |
| abstract_inverted_index.from | 53 |
| abstract_inverted_index.gene | 153 |
| abstract_inverted_index.have | 66 |
| abstract_inverted_index.rate | 103 |
| abstract_inverted_index.sets | 25, 42, 59, 87, 184 |
| abstract_inverted_index.than | 163 |
| abstract_inverted_index.that | 144 |
| abstract_inverted_index.used | 194 |
| abstract_inverted_index.were | 62, 76 |
| abstract_inverted_index.when | 69 |
| abstract_inverted_index.with | 71, 82, 171, 177 |
| abstract_inverted_index.(< | 122, 128 |
| abstract_inverted_index.Among | 92 |
| abstract_inverted_index.Based | 131 |
| abstract_inverted_index.Nsp3, | 146 |
| abstract_inverted_index.Set-4 | 97 |
| abstract_inverted_index.never | 32 |
| abstract_inverted_index.other | 165, 182 |
| abstract_inverted_index.sets, | 96 |
| abstract_inverted_index.sets. | 167 |
| abstract_inverted_index.speed | 121 |
| abstract_inverted_index.these | 93 |
| abstract_inverted_index.using | 23, 45, 88 |
| abstract_inverted_index.Set-13 | 111 |
| abstract_inverted_index.Set-14 | 113, 116, 141, 173 |
| abstract_inverted_index.Set-17 | 127, 143 |
| abstract_inverted_index.Set-4, | 137 |
| abstract_inverted_index.assays | 22, 170 |
| abstract_inverted_index.better | 162 |
| abstract_inverted_index.caused | 5, 9 |
| abstract_inverted_index.faster | 67 |
| abstract_inverted_index.global | 11 |
| abstract_inverted_index.primer | 86, 95, 166, 183 |
| abstract_inverted_index.showed | 117 |
| abstract_inverted_index.target | 145 |
| abstract_inverted_index.tested | 70 |
| abstract_inverted_index.(Set-4, | 185 |
| abstract_inverted_index.RT-LAMP | 21, 169 |
| abstract_inverted_index.Set-10, | 109, 138, 186 |
| abstract_inverted_index.Set-11, | 110, 139, 187 |
| abstract_inverted_index.Set-13) | 189 |
| abstract_inverted_index.Set-13, | 140 |
| abstract_inverted_index.disease | 2 |
| abstract_inverted_index.fastest | 119 |
| abstract_inverted_index.firstly | 63 |
| abstract_inverted_index.further | 77 |
| abstract_inverted_index.highest | 100 |
| abstract_inverted_index.overall | 134 |
| abstract_inverted_index.primers | 27, 44, 61, 174 |
| abstract_inverted_index.regions | 154 |
| abstract_inverted_index.samples | 52 |
| abstract_inverted_index.various | 20 |
| abstract_inverted_index.(75.9%), | 114 |
| abstract_inverted_index.(82.8%), | 106 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.COVID-19 | 54, 197 |
| abstract_inverted_index.clinical | 51, 90 |
| abstract_inverted_index.followed | 107, 125 |
| abstract_inverted_index.parallel | 80 |
| abstract_inverted_index.positive | 101 |
| abstract_inverted_index.samples. | 91 |
| abstract_inverted_index.compared. | 34 |
| abstract_inverted_index.detection | 16, 102, 135 |
| abstract_inverted_index.minutes), | 124 |
| abstract_inverted_index.minutes). | 130 |
| abstract_inverted_index.patients. | 55 |
| abstract_inverted_index.performed | 36 |
| abstract_inverted_index.remaining | 84 |
| abstract_inverted_index.standards | 48 |
| abstract_inverted_index.subjected | 78 |
| abstract_inverted_index.(COVID-19) | 4 |
| abstract_inverted_index.SARS-CoV-2 | 7, 18, 105 |
| abstract_inverted_index.comparison | 81 |
| abstract_inverted_index.determined | 159 |
| abstract_inverted_index.developed, | 30 |
| abstract_inverted_index.evaluation | 38 |
| abstract_inverted_index.facilitate | 14 |
| abstract_inverted_index.identified | 64 |
| abstract_inverted_index.infection, | 19 |
| abstract_inverted_index.pandemics. | 12 |
| abstract_inverted_index.standards, | 74 |
| abstract_inverted_index.Coronavirus | 1 |
| abstract_inverted_index.SARS-CoV-2, | 156 |
| abstract_inverted_index.combination | 176 |
| abstract_inverted_index.comparative | 37 |
| abstract_inverted_index.recommended | 191 |
| abstract_inverted_index.performance, | 136 |
| abstract_inverted_index.amplification | 68, 120 |
| abstract_inverted_index.respectively, | 157 |
| abstract_inverted_index.surveillance. | 198 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5058829071 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I4210096219 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.72715794 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |