Investigating the Factors Related to Gastric Cancer with Conditional Logistic Regression Model: A Cross-Sectional-Retrospective Study Article Swipe
Armin Naghipour
,
Abbas Moghimbeigi
,
Jalal Poorolajal
,
Abdolazim Sadighi-Pashaki
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5812/jkums-133834
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5812/jkums-133834
Background: The incidence of stomach cancer in Iran, especially in the western and northwestern regions, has increased in recent years. Objectives: This study aimed to report the identified factors related to stomach cancer in Hamadan province. Methods: In this retrospective descriptive study, the data were collected by a researcher-made checklist. The 1: 2 matched controls were considered for each patient. Controls were age (± 5 years) and sex-matched. The control group was selected from a hospital sample with and without a family history of cancer. The data analysis was analyzed using a conditional logistic regression model under Stata software. Results: A total of 100 patients (male n = 77 and female n = 23) with gastric cancer (cases) were studied. The results showed that many variables such as smoking (P < 0.05), blood type (P < 0.05), job (P < 0.05), red meat (P < 0.05), pickle (P < 0.05), hot food (P < 0.05), salt (P < 0.05), alcohol (P < 0.05), and black tea (P < 0.05) were risk factors and variables such as education (P < 0.05), vegetables (P < 0.05), fruit (P < 0.05), fish (P < 0.05), physical activity (P < 0.05), broccoli (P < 0.05), and garlic (P < 0.05) were the preventive factors for gastric cancer. There was no difference between the investigated factors of controls with a family history of cancer and those without one. Conclusions: Health and treatment organizations and health policymakers are expected to reduce the incidence of stomach cancer by raising awareness and promoting proper diet by reporting the preventive and risk factors.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5812/jkums-133834
- OA Status
- diamond
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405951331
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4405951331Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5812/jkums-133834Digital Object Identifier
- Title
-
Investigating the Factors Related to Gastric Cancer with Conditional Logistic Regression Model: A Cross-Sectional-Retrospective StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-25Full publication date if available
- Authors
-
Armin Naghipour, Abbas Moghimbeigi, Jalal Poorolajal, Abdolazim Sadighi-PashakiList of authors in order
- Landing page
-
https://doi.org/10.5812/jkums-133834Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5812/jkums-133834Direct OA link when available
- Concepts
-
Logistic regression, Medicine, Cross-sectional study, Regression, Cancer, Retrospective cohort study, Regression analysis, Conditional logistic regression, Statistics, Internal medicine, Odds ratio, Pathology, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4405951331 |
|---|---|
| doi | https://doi.org/10.5812/jkums-133834 |
| ids.doi | https://doi.org/10.5812/jkums-133834 |
| ids.openalex | https://openalex.org/W4405951331 |
| fwci | 0.0 |
| type | article |
| title | Investigating the Factors Related to Gastric Cancer with Conditional Logistic Regression Model: A Cross-Sectional-Retrospective Study |
| biblio.issue | 1 |
| biblio.volume | 27 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12873 |
| topics[0].field.id | https://openalex.org/fields/29 |
| topics[0].field.display_name | Nursing |
| topics[0].score | 0.8795999884605408 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2916 |
| topics[0].subfield.display_name | Nutrition and Dietetics |
| topics[0].display_name | Nutrition, Health and Food Behavior |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C151956035 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8484784960746765 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1132755 |
| concepts[0].display_name | Logistic regression |
| concepts[1].id | https://openalex.org/C71924100 |
| concepts[1].level | 0 |
| concepts[1].score | 0.720873236656189 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[1].display_name | Medicine |
| concepts[2].id | https://openalex.org/C142052008 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6179400682449341 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q954027 |
| concepts[2].display_name | Cross-sectional study |
| concepts[3].id | https://openalex.org/C83546350 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5290699601173401 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1139051 |
| concepts[3].display_name | Regression |
| concepts[4].id | https://openalex.org/C121608353 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5079665780067444 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q12078 |
| concepts[4].display_name | Cancer |
| concepts[5].id | https://openalex.org/C167135981 |
| concepts[5].level | 2 |
| concepts[5].score | 0.49988555908203125 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2146302 |
| concepts[5].display_name | Retrospective cohort study |
| concepts[6].id | https://openalex.org/C152877465 |
| concepts[6].level | 2 |
| concepts[6].score | 0.46607065200805664 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q208042 |
| concepts[6].display_name | Regression analysis |
| concepts[7].id | https://openalex.org/C2779662715 |
| concepts[7].level | 3 |
| concepts[7].score | 0.45831674337387085 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q19596443 |
| concepts[7].display_name | Conditional logistic regression |
| concepts[8].id | https://openalex.org/C105795698 |
| concepts[8].level | 1 |
| concepts[8].score | 0.31341609358787537 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[8].display_name | Statistics |
| concepts[9].id | https://openalex.org/C126322002 |
| concepts[9].level | 1 |
| concepts[9].score | 0.20709162950515747 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[9].display_name | Internal medicine |
| concepts[10].id | https://openalex.org/C156957248 |
| concepts[10].level | 2 |
| concepts[10].score | 0.15092864632606506 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1862216 |
| concepts[10].display_name | Odds ratio |
| concepts[11].id | https://openalex.org/C142724271 |
| concepts[11].level | 1 |
| concepts[11].score | 0.07848253846168518 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[11].display_name | Pathology |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.07688897848129272 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| keywords[0].id | https://openalex.org/keywords/logistic-regression |
| keywords[0].score | 0.8484784960746765 |
| keywords[0].display_name | Logistic regression |
| keywords[1].id | https://openalex.org/keywords/medicine |
| keywords[1].score | 0.720873236656189 |
| keywords[1].display_name | Medicine |
| keywords[2].id | https://openalex.org/keywords/cross-sectional-study |
| keywords[2].score | 0.6179400682449341 |
| keywords[2].display_name | Cross-sectional study |
| keywords[3].id | https://openalex.org/keywords/regression |
| keywords[3].score | 0.5290699601173401 |
| keywords[3].display_name | Regression |
| keywords[4].id | https://openalex.org/keywords/cancer |
| keywords[4].score | 0.5079665780067444 |
| keywords[4].display_name | Cancer |
| keywords[5].id | https://openalex.org/keywords/retrospective-cohort-study |
| keywords[5].score | 0.49988555908203125 |
| keywords[5].display_name | Retrospective cohort study |
| keywords[6].id | https://openalex.org/keywords/regression-analysis |
| keywords[6].score | 0.46607065200805664 |
| keywords[6].display_name | Regression analysis |
| keywords[7].id | https://openalex.org/keywords/conditional-logistic-regression |
| keywords[7].score | 0.45831674337387085 |
| keywords[7].display_name | Conditional logistic regression |
| keywords[8].id | https://openalex.org/keywords/statistics |
| keywords[8].score | 0.31341609358787537 |
| keywords[8].display_name | Statistics |
| keywords[9].id | https://openalex.org/keywords/internal-medicine |
| keywords[9].score | 0.20709162950515747 |
| keywords[9].display_name | Internal medicine |
| keywords[10].id | https://openalex.org/keywords/odds-ratio |
| keywords[10].score | 0.15092864632606506 |
| keywords[10].display_name | Odds ratio |
| keywords[11].id | https://openalex.org/keywords/pathology |
| keywords[11].score | 0.07848253846168518 |
| keywords[11].display_name | Pathology |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.07688897848129272 |
| keywords[12].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.5812/jkums-133834 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210233535 |
| locations[0].source.issn | 2588-2562, 2588-2570 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2588-2562 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Kermanshah University of Medical Sciences |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Kermanshah University of Medical Sciences |
| locations[0].landing_page_url | https://doi.org/10.5812/jkums-133834 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5004540594 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5532-5107 |
| authorships[0].author.display_name | Armin Naghipour |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Armin Naghipour |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5082299182 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-3803-3663 |
| authorships[1].author.display_name | Abbas Moghimbeigi |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Abbass Moghimbeigi |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5078630563 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3758-3006 |
| authorships[2].author.display_name | Jalal Poorolajal |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jalal Poorolajal |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5064763786 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Abdolazim Sadighi-Pashaki |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Abdolazim Sadighi-Pashaki |
| authorships[3].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5812/jkums-133834 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Investigating the Factors Related to Gastric Cancer with Conditional Logistic Regression Model: A Cross-Sectional-Retrospective Study |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12873 |
| primary_topic.field.id | https://openalex.org/fields/29 |
| primary_topic.field.display_name | Nursing |
| primary_topic.score | 0.8795999884605408 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2916 |
| primary_topic.subfield.display_name | Nutrition and Dietetics |
| primary_topic.display_name | Nutrition, Health and Food Behavior |
| related_works | https://openalex.org/W2361857538, https://openalex.org/W2492534274, https://openalex.org/W2348343818, https://openalex.org/W3211735916, https://openalex.org/W1986001860, https://openalex.org/W31220157, https://openalex.org/W2372511151, https://openalex.org/W2312753042, https://openalex.org/W4289356671, https://openalex.org/W2389155397 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5812/jkums-133834 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210233535 |
| best_oa_location.source.issn | 2588-2562, 2588-2570 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2588-2562 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Kermanshah University of Medical Sciences |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Kermanshah University of Medical Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.5812/jkums-133834 |
| primary_location.id | doi:10.5812/jkums-133834 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210233535 |
| primary_location.source.issn | 2588-2562, 2588-2570 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2588-2562 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Kermanshah University of Medical Sciences |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Kermanshah University of Medical Sciences |
| primary_location.landing_page_url | https://doi.org/10.5812/jkums-133834 |
| publication_date | 2023-03-25 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2945719890, https://openalex.org/W2106787323, https://openalex.org/W2738673870, https://openalex.org/W3028043149, https://openalex.org/W4220714712, https://openalex.org/W2140481064, https://openalex.org/W3003305918, https://openalex.org/W2903729671, https://openalex.org/W2098445141, https://openalex.org/W2049247734, https://openalex.org/W2910251301, https://openalex.org/W2031138404, https://openalex.org/W1970495760, https://openalex.org/W2103989133, https://openalex.org/W2053016232, https://openalex.org/W1971031728, https://openalex.org/W2263061996, https://openalex.org/W3098745522, https://openalex.org/W2996916796, https://openalex.org/W2794528510, https://openalex.org/W3014259600, https://openalex.org/W2912465459, https://openalex.org/W2796535607, https://openalex.org/W2969103137, https://openalex.org/W2045705423, https://openalex.org/W1985649547, https://openalex.org/W3016763777, https://openalex.org/W3084360081, https://openalex.org/W2791115605 |
| referenced_works_count | 29 |
| abstract_inverted_index.2 | 52 |
| abstract_inverted_index.5 | 64 |
| abstract_inverted_index.= | 107, 112 |
| abstract_inverted_index.A | 100 |
| abstract_inverted_index.a | 47, 74, 80, 91, 224 |
| abstract_inverted_index.n | 106, 111 |
| abstract_inverted_index.(P | 129, 134, 138, 143, 147, 152, 156, 160, 166, 177, 181, 185, 189, 194, 198, 203 |
| abstract_inverted_index.1: | 51 |
| abstract_inverted_index.77 | 108 |
| abstract_inverted_index.In | 37 |
| abstract_inverted_index.as | 127, 175 |
| abstract_inverted_index.by | 46, 250, 257 |
| abstract_inverted_index.in | 6, 9, 17, 33 |
| abstract_inverted_index.no | 215 |
| abstract_inverted_index.of | 3, 83, 102, 221, 227, 247 |
| abstract_inverted_index.to | 24, 30, 243 |
| abstract_inverted_index.(± | 63 |
| abstract_inverted_index.100 | 103 |
| abstract_inverted_index.23) | 113 |
| abstract_inverted_index.The | 1, 50, 68, 85, 120 |
| abstract_inverted_index.age | 62 |
| abstract_inverted_index.and | 12, 66, 78, 109, 163, 172, 201, 229, 235, 238, 253, 261 |
| abstract_inverted_index.are | 241 |
| abstract_inverted_index.for | 57, 210 |
| abstract_inverted_index.has | 15 |
| abstract_inverted_index.hot | 150 |
| abstract_inverted_index.job | 137 |
| abstract_inverted_index.red | 141 |
| abstract_inverted_index.tea | 165 |
| abstract_inverted_index.the | 10, 26, 42, 207, 218, 245, 259 |
| abstract_inverted_index.was | 71, 88, 214 |
| abstract_inverted_index.< | 130, 135, 139, 144, 148, 153, 157, 161, 167, 178, 182, 186, 190, 195, 199, 204 |
| abstract_inverted_index.This | 21 |
| abstract_inverted_index.data | 43, 86 |
| abstract_inverted_index.diet | 256 |
| abstract_inverted_index.each | 58 |
| abstract_inverted_index.fish | 188 |
| abstract_inverted_index.food | 151 |
| abstract_inverted_index.from | 73 |
| abstract_inverted_index.many | 124 |
| abstract_inverted_index.meat | 142 |
| abstract_inverted_index.one. | 232 |
| abstract_inverted_index.risk | 170, 262 |
| abstract_inverted_index.salt | 155 |
| abstract_inverted_index.such | 126, 174 |
| abstract_inverted_index.that | 123 |
| abstract_inverted_index.this | 38 |
| abstract_inverted_index.type | 133 |
| abstract_inverted_index.were | 44, 55, 61, 118, 169, 206 |
| abstract_inverted_index.with | 77, 114, 223 |
| abstract_inverted_index.(male | 105 |
| abstract_inverted_index.0.05) | 168, 205 |
| abstract_inverted_index.Iran, | 7 |
| abstract_inverted_index.Stata | 97 |
| abstract_inverted_index.There | 213 |
| abstract_inverted_index.aimed | 23 |
| abstract_inverted_index.black | 164 |
| abstract_inverted_index.blood | 132 |
| abstract_inverted_index.fruit | 184 |
| abstract_inverted_index.group | 70 |
| abstract_inverted_index.model | 95 |
| abstract_inverted_index.study | 22 |
| abstract_inverted_index.those | 230 |
| abstract_inverted_index.total | 101 |
| abstract_inverted_index.under | 96 |
| abstract_inverted_index.using | 90 |
| abstract_inverted_index.0.05), | 131, 136, 140, 145, 149, 154, 158, 162, 179, 183, 187, 191, 196, 200 |
| abstract_inverted_index.Health | 234 |
| abstract_inverted_index.cancer | 5, 32, 116, 228, 249 |
| abstract_inverted_index.family | 81, 225 |
| abstract_inverted_index.female | 110 |
| abstract_inverted_index.garlic | 202 |
| abstract_inverted_index.health | 239 |
| abstract_inverted_index.pickle | 146 |
| abstract_inverted_index.proper | 255 |
| abstract_inverted_index.recent | 18 |
| abstract_inverted_index.reduce | 244 |
| abstract_inverted_index.report | 25 |
| abstract_inverted_index.sample | 76 |
| abstract_inverted_index.showed | 122 |
| abstract_inverted_index.study, | 41 |
| abstract_inverted_index.years) | 65 |
| abstract_inverted_index.years. | 19 |
| abstract_inverted_index.(cases) | 117 |
| abstract_inverted_index.Hamadan | 34 |
| abstract_inverted_index.alcohol | 159 |
| abstract_inverted_index.between | 217 |
| abstract_inverted_index.cancer. | 84, 212 |
| abstract_inverted_index.control | 69 |
| abstract_inverted_index.factors | 28, 171, 209, 220 |
| abstract_inverted_index.gastric | 115, 211 |
| abstract_inverted_index.history | 82, 226 |
| abstract_inverted_index.matched | 53 |
| abstract_inverted_index.raising | 251 |
| abstract_inverted_index.related | 29 |
| abstract_inverted_index.results | 121 |
| abstract_inverted_index.smoking | 128 |
| abstract_inverted_index.stomach | 4, 31, 248 |
| abstract_inverted_index.western | 11 |
| abstract_inverted_index.without | 79, 231 |
| abstract_inverted_index.Controls | 60 |
| abstract_inverted_index.Methods: | 36 |
| abstract_inverted_index.Results: | 99 |
| abstract_inverted_index.activity | 193 |
| abstract_inverted_index.analysis | 87 |
| abstract_inverted_index.analyzed | 89 |
| abstract_inverted_index.broccoli | 197 |
| abstract_inverted_index.controls | 54, 222 |
| abstract_inverted_index.expected | 242 |
| abstract_inverted_index.factors. | 263 |
| abstract_inverted_index.hospital | 75 |
| abstract_inverted_index.logistic | 93 |
| abstract_inverted_index.patient. | 59 |
| abstract_inverted_index.patients | 104 |
| abstract_inverted_index.physical | 192 |
| abstract_inverted_index.regions, | 14 |
| abstract_inverted_index.selected | 72 |
| abstract_inverted_index.studied. | 119 |
| abstract_inverted_index.awareness | 252 |
| abstract_inverted_index.collected | 45 |
| abstract_inverted_index.education | 176 |
| abstract_inverted_index.incidence | 2, 246 |
| abstract_inverted_index.increased | 16 |
| abstract_inverted_index.promoting | 254 |
| abstract_inverted_index.province. | 35 |
| abstract_inverted_index.reporting | 258 |
| abstract_inverted_index.software. | 98 |
| abstract_inverted_index.treatment | 236 |
| abstract_inverted_index.variables | 125, 173 |
| abstract_inverted_index.checklist. | 49 |
| abstract_inverted_index.considered | 56 |
| abstract_inverted_index.difference | 216 |
| abstract_inverted_index.especially | 8 |
| abstract_inverted_index.identified | 27 |
| abstract_inverted_index.preventive | 208, 260 |
| abstract_inverted_index.regression | 94 |
| abstract_inverted_index.vegetables | 180 |
| abstract_inverted_index.Background: | 0 |
| abstract_inverted_index.Objectives: | 20 |
| abstract_inverted_index.conditional | 92 |
| abstract_inverted_index.descriptive | 40 |
| abstract_inverted_index.Conclusions: | 233 |
| abstract_inverted_index.investigated | 219 |
| abstract_inverted_index.northwestern | 13 |
| abstract_inverted_index.policymakers | 240 |
| abstract_inverted_index.sex-matched. | 67 |
| abstract_inverted_index.organizations | 237 |
| abstract_inverted_index.retrospective | 39 |
| abstract_inverted_index.researcher-made | 48 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.30912375 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |