canvasXpress: A versatile interactive high-resolution scientific multi-panel visualization toolkit Article Swipe
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1101/186213
To the Editor: CanvasXpress ( https://canvasxpress.org ) was developed as the core visualization component for bioinformatics and systems biology analysis at Bristol-Myers Squibb and further enhanced by scientists around the world and served as a key visualization engine for many popular bioinformatics tools 1,2,3,4,5,6 . It offers a rich set of interactive plots to display scientific and genomics data, such as oncoprint of cancer mutations, heatmap, 3D scatter, violin, radar, and profile plots (Figure 1, canvasXpress plots arranged by canvasDesigner https://baohongz.github.io/canvasDesigner ). Recently, the reproducibility and usability of the package in real world bioinformatics and clinical use cases have been improved significantly witnessed by continuous add-on features and wide adoption of the toolkit in the scientific communities. Furthermore, It is the first noteworthy package harmonizing real time interactive exploring and analyzing of big data, full-fledged customizing of look-n-feel, and producing multi-panel publication-ready figures in PDF format simultaneously.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/186213
- https://www.biorxiv.org/content/biorxiv/early/2017/09/15/186213.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2753232229
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2753232229Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/186213Digital Object Identifier
- Title
-
canvasXpress: A versatile interactive high-resolution scientific multi-panel visualization toolkitWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-09-08Full publication date if available
- Authors
-
Baohong Zhang, Shanrong Zhao, Isaac NeuhausList of authors in order
- Landing page
-
https://doi.org/10.1101/186213Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2017/09/15/186213.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.biorxiv.org/content/biorxiv/early/2017/09/15/186213.full.pdfDirect OA link when available
- Concepts
-
Visualization, Computer science, Usability, Set (abstract data type), Big data, Component (thermodynamics), Data science, Data set, World Wide Web, Data mining, Human–computer interaction, Artificial intelligence, Programming language, Physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
3Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2753232229 |
|---|---|
| doi | https://doi.org/10.1101/186213 |
| ids.doi | https://doi.org/10.1101/186213 |
| ids.mag | 2753232229 |
| ids.openalex | https://openalex.org/W2753232229 |
| fwci | 0.0 |
| type | preprint |
| title | canvasXpress: A versatile interactive high-resolution scientific multi-panel visualization toolkit |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10887 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9958999752998352 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1312 |
| topics[0].subfield.display_name | Molecular Biology |
| topics[0].display_name | Bioinformatics and Genomic Networks |
| topics[1].id | https://openalex.org/T10885 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9869999885559082 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1312 |
| topics[1].subfield.display_name | Molecular Biology |
| topics[1].display_name | Gene expression and cancer classification |
| topics[2].id | https://openalex.org/T13937 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9860000014305115 |
| 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 | Genetics, Bioinformatics, and Biomedical Research |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C36464697 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7718490362167358 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q451553 |
| concepts[0].display_name | Visualization |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6665764451026917 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C170130773 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5909004807472229 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q216378 |
| concepts[2].display_name | Usability |
| concepts[3].id | https://openalex.org/C177264268 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5167100429534912 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[3].display_name | Set (abstract data type) |
| concepts[4].id | https://openalex.org/C75684735 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4762135446071625 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q858810 |
| concepts[4].display_name | Big data |
| concepts[5].id | https://openalex.org/C168167062 |
| concepts[5].level | 2 |
| concepts[5].score | 0.46603530645370483 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1117970 |
| concepts[5].display_name | Component (thermodynamics) |
| concepts[6].id | https://openalex.org/C2522767166 |
| concepts[6].level | 1 |
| concepts[6].score | 0.45659953355789185 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[6].display_name | Data science |
| concepts[7].id | https://openalex.org/C58489278 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4171094298362732 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1172284 |
| concepts[7].display_name | Data set |
| concepts[8].id | https://openalex.org/C136764020 |
| concepts[8].level | 1 |
| concepts[8].score | 0.34257757663726807 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[8].display_name | World Wide Web |
| concepts[9].id | https://openalex.org/C124101348 |
| concepts[9].level | 1 |
| concepts[9].score | 0.21008148789405823 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[9].display_name | Data mining |
| concepts[10].id | https://openalex.org/C107457646 |
| concepts[10].level | 1 |
| concepts[10].score | 0.2081429362297058 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[10].display_name | Human–computer interaction |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.08357620239257812 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C199360897 |
| concepts[12].level | 1 |
| concepts[12].score | 0.08203262090682983 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[12].display_name | Programming language |
| concepts[13].id | https://openalex.org/C121332964 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[13].display_name | Physics |
| concepts[14].id | https://openalex.org/C97355855 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11473 |
| concepts[14].display_name | Thermodynamics |
| keywords[0].id | https://openalex.org/keywords/visualization |
| keywords[0].score | 0.7718490362167358 |
| keywords[0].display_name | Visualization |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.6665764451026917 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/usability |
| keywords[2].score | 0.5909004807472229 |
| keywords[2].display_name | Usability |
| keywords[3].id | https://openalex.org/keywords/set |
| keywords[3].score | 0.5167100429534912 |
| keywords[3].display_name | Set (abstract data type) |
| keywords[4].id | https://openalex.org/keywords/big-data |
| keywords[4].score | 0.4762135446071625 |
| keywords[4].display_name | Big data |
| keywords[5].id | https://openalex.org/keywords/component |
| keywords[5].score | 0.46603530645370483 |
| keywords[5].display_name | Component (thermodynamics) |
| keywords[6].id | https://openalex.org/keywords/data-science |
| keywords[6].score | 0.45659953355789185 |
| keywords[6].display_name | Data science |
| keywords[7].id | https://openalex.org/keywords/data-set |
| keywords[7].score | 0.4171094298362732 |
| keywords[7].display_name | Data set |
| keywords[8].id | https://openalex.org/keywords/world-wide-web |
| keywords[8].score | 0.34257757663726807 |
| keywords[8].display_name | World Wide Web |
| keywords[9].id | https://openalex.org/keywords/data-mining |
| keywords[9].score | 0.21008148789405823 |
| keywords[9].display_name | Data mining |
| keywords[10].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[10].score | 0.2081429362297058 |
| keywords[10].display_name | Human–computer interaction |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.08357620239257812 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/programming-language |
| keywords[12].score | 0.08203262090682983 |
| keywords[12].display_name | Programming language |
| language | en |
| locations[0].id | doi:10.1101/186213 |
| 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 |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2017/09/15/186213.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/186213 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5101497745 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Baohong Zhang |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I180857899 |
| authorships[0].affiliations[0].raw_affiliation_string | Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA |
| authorships[0].institutions[0].id | https://openalex.org/I180857899 |
| authorships[0].institutions[0].ror | https://ror.org/01xdqrp08 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I180857899 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Pfizer (United States) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Baohong Zhang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA |
| authorships[1].author.id | https://openalex.org/A5102253191 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Shanrong Zhao |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I180857899 |
| authorships[1].affiliations[0].raw_affiliation_string | Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA |
| authorships[1].institutions[0].id | https://openalex.org/I180857899 |
| authorships[1].institutions[0].ror | https://ror.org/01xdqrp08 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I180857899 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Pfizer (United States) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Shanrong Zhao |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA |
| authorships[2].author.id | https://openalex.org/A5015017942 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0919-1291 |
| authorships[2].author.display_name | Isaac Neuhaus |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210091812 |
| authorships[2].affiliations[0].raw_affiliation_string | Computational Genomics, Bristol-Myers Squibb Company, New Jersey, USA |
| authorships[2].institutions[0].id | https://openalex.org/I4210091812 |
| authorships[2].institutions[0].ror | https://ror.org/00gtmwv55 |
| authorships[2].institutions[0].type | company |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210091812 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Bristol-Myers Squibb (United States) |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Isaac Neuhaus |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Computational Genomics, Bristol-Myers Squibb Company, New Jersey, USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.biorxiv.org/content/biorxiv/early/2017/09/15/186213.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | canvasXpress: A versatile interactive high-resolution scientific multi-panel visualization toolkit |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10887 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9958999752998352 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1312 |
| primary_topic.subfield.display_name | Molecular Biology |
| primary_topic.display_name | Bioinformatics and Genomic Networks |
| related_works | https://openalex.org/W2429057255, https://openalex.org/W2187546663, https://openalex.org/W148745890, https://openalex.org/W4389670110, https://openalex.org/W2611942503, https://openalex.org/W4315621326, https://openalex.org/W2899790217, https://openalex.org/W2598865957, https://openalex.org/W1576092969, https://openalex.org/W4390608645 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/186213 |
| 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 |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2017/09/15/186213.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 |
| 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/10.1101/186213 |
| primary_location.id | doi:10.1101/186213 |
| 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 |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2017/09/15/186213.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/186213 |
| publication_date | 2017-09-08 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2222859485, https://openalex.org/W2597544746, https://openalex.org/W2739025552 |
| referenced_works_count | 3 |
| abstract_inverted_index.( | 4 |
| abstract_inverted_index.) | 6 |
| abstract_inverted_index.. | 44 |
| abstract_inverted_index.a | 34, 47 |
| abstract_inverted_index.). | 81 |
| abstract_inverted_index.1, | 74 |
| abstract_inverted_index.3D | 66 |
| abstract_inverted_index.It | 45, 118 |
| abstract_inverted_index.To | 0 |
| abstract_inverted_index.as | 9, 33, 60 |
| abstract_inverted_index.at | 20 |
| abstract_inverted_index.by | 26, 78, 103 |
| abstract_inverted_index.in | 90, 113, 143 |
| abstract_inverted_index.is | 119 |
| abstract_inverted_index.of | 50, 62, 87, 110, 131, 136 |
| abstract_inverted_index.to | 53 |
| abstract_inverted_index.PDF | 144 |
| abstract_inverted_index.and | 16, 23, 31, 56, 70, 85, 94, 107, 129, 138 |
| abstract_inverted_index.big | 132 |
| abstract_inverted_index.for | 14, 38 |
| abstract_inverted_index.key | 35 |
| abstract_inverted_index.set | 49 |
| abstract_inverted_index.the | 1, 10, 29, 83, 88, 111, 114, 120 |
| abstract_inverted_index.use | 96 |
| abstract_inverted_index.was | 7 |
| abstract_inverted_index.been | 99 |
| abstract_inverted_index.core | 11 |
| abstract_inverted_index.have | 98 |
| abstract_inverted_index.many | 39 |
| abstract_inverted_index.real | 91, 125 |
| abstract_inverted_index.rich | 48 |
| abstract_inverted_index.such | 59 |
| abstract_inverted_index.time | 126 |
| abstract_inverted_index.wide | 108 |
| abstract_inverted_index.cases | 97 |
| abstract_inverted_index.data, | 58, 133 |
| abstract_inverted_index.first | 121 |
| abstract_inverted_index.plots | 52, 72, 76 |
| abstract_inverted_index.tools | 42 |
| abstract_inverted_index.world | 30, 92 |
| abstract_inverted_index.Squibb | 22 |
| abstract_inverted_index.add-on | 105 |
| abstract_inverted_index.around | 28 |
| abstract_inverted_index.cancer | 63 |
| abstract_inverted_index.engine | 37 |
| abstract_inverted_index.format | 145 |
| abstract_inverted_index.offers | 46 |
| abstract_inverted_index.radar, | 69 |
| abstract_inverted_index.served | 32 |
| abstract_inverted_index.(Figure | 73 |
| abstract_inverted_index.Editor: | 2 |
| abstract_inverted_index.biology | 18 |
| abstract_inverted_index.display | 54 |
| abstract_inverted_index.figures | 142 |
| abstract_inverted_index.further | 24 |
| abstract_inverted_index.package | 89, 123 |
| abstract_inverted_index.popular | 40 |
| abstract_inverted_index.profile | 71 |
| abstract_inverted_index.systems | 17 |
| abstract_inverted_index.toolkit | 112 |
| abstract_inverted_index.violin, | 68 |
| abstract_inverted_index.adoption | 109 |
| abstract_inverted_index.analysis | 19 |
| abstract_inverted_index.arranged | 77 |
| abstract_inverted_index.clinical | 95 |
| abstract_inverted_index.enhanced | 25 |
| abstract_inverted_index.features | 106 |
| abstract_inverted_index.genomics | 57 |
| abstract_inverted_index.heatmap, | 65 |
| abstract_inverted_index.improved | 100 |
| abstract_inverted_index.scatter, | 67 |
| abstract_inverted_index.Recently, | 82 |
| abstract_inverted_index.analyzing | 130 |
| abstract_inverted_index.component | 13 |
| abstract_inverted_index.developed | 8 |
| abstract_inverted_index.exploring | 128 |
| abstract_inverted_index.oncoprint | 61 |
| abstract_inverted_index.producing | 139 |
| abstract_inverted_index.usability | 86 |
| abstract_inverted_index.witnessed | 102 |
| abstract_inverted_index.continuous | 104 |
| abstract_inverted_index.mutations, | 64 |
| abstract_inverted_index.noteworthy | 122 |
| abstract_inverted_index.scientific | 55, 115 |
| abstract_inverted_index.scientists | 27 |
| abstract_inverted_index.1,2,3,4,5,6 | 43 |
| abstract_inverted_index.customizing | 135 |
| abstract_inverted_index.harmonizing | 124 |
| abstract_inverted_index.interactive | 51, 127 |
| abstract_inverted_index.multi-panel | 140 |
| abstract_inverted_index.CanvasXpress | 3 |
| abstract_inverted_index.Furthermore, | 117 |
| abstract_inverted_index.canvasXpress | 75 |
| abstract_inverted_index.communities. | 116 |
| abstract_inverted_index.full-fledged | 134 |
| abstract_inverted_index.look-n-feel, | 137 |
| abstract_inverted_index.Bristol-Myers | 21 |
| abstract_inverted_index.significantly | 101 |
| abstract_inverted_index.visualization | 12, 36 |
| abstract_inverted_index.bioinformatics | 15, 41, 93 |
| abstract_inverted_index.canvasDesigner | 79 |
| abstract_inverted_index.reproducibility | 84 |
| abstract_inverted_index.simultaneously. | 146 |
| abstract_inverted_index.publication-ready | 141 |
| abstract_inverted_index.https://canvasxpress.org | 5 |
| abstract_inverted_index.https://baohongz.github.io/canvasDesigner | 80 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5015017942 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I4210091812 |
| citation_normalized_percentile.value | 0.09861144 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |