'WP2Cochrane', a tool linking Wikipedia to the Cochrane Library: Results of a bibliometric analysis evaluating article quality and importance. (September 2020)
- Record Type:
- Journal Article
- Title:
- 'WP2Cochrane', a tool linking Wikipedia to the Cochrane Library: Results of a bibliometric analysis evaluating article quality and importance. (September 2020)
- Main Title:
- 'WP2Cochrane', a tool linking Wikipedia to the Cochrane Library: Results of a bibliometric analysis evaluating article quality and importance
- Authors:
- Joorabchi, Arash
Doherty, Cailbhe
Dawson, Jennifer - Abstract:
- Medical information on English Wikipedia was accessed over 2 billion times in 2018. Our goal was to develop an automated system to assist Wikipedia volunteers to improve articles with high-quality sources from journals such as The Cochrane Library. We created an automated indexing system by linking available reviews from the Cochrane library with disease-related Wikipedia articles and evaluating the relationship between the quality and importance of these articles with the number of relevant and cited Cochrane reviews. We first conducted a bibliometric analysis, identifying disease-related Wikipedia articles and relevant/cited Cochrane reviews. Citations were thematically coded, and descriptive statistics were calculated. Finally, separate multinomial logistic regression analyses were conducted for article quality and importance. The indexing system identified 4381 disease-related Wikipedia articles, 1193 (27%) of which cited a Cochrane review. Higher quality Wikipedia articles were more likely to cite a Cochrane review (p = 0.002), while lower quality articles were less likely to cite a Cochrane review (p < 0.0005). A greater number of Cochrane reviews are available for more 'important' Wikipedia articles (p < 0.005), and these articles were more likely to cite a Cochrane review (p < 0.005). This approach to an indexing system can be leveraged by Wikipedia contributors and editors seeking to update disease-related Wikipedia articles with relevant Cochrane reviews (thusMedical information on English Wikipedia was accessed over 2 billion times in 2018. Our goal was to develop an automated system to assist Wikipedia volunteers to improve articles with high-quality sources from journals such as The Cochrane Library. We created an automated indexing system by linking available reviews from the Cochrane library with disease-related Wikipedia articles and evaluating the relationship between the quality and importance of these articles with the number of relevant and cited Cochrane reviews. We first conducted a bibliometric analysis, identifying disease-related Wikipedia articles and relevant/cited Cochrane reviews. Citations were thematically coded, and descriptive statistics were calculated. Finally, separate multinomial logistic regression analyses were conducted for article quality and importance. The indexing system identified 4381 disease-related Wikipedia articles, 1193 (27%) of which cited a Cochrane review. Higher quality Wikipedia articles were more likely to cite a Cochrane review (p = 0.002), while lower quality articles were less likely to cite a Cochrane review (p < 0.0005). A greater number of Cochrane reviews are available for more 'important' Wikipedia articles (p < 0.005), and these articles were more likely to cite a Cochrane review (p < 0.005). This approach to an indexing system can be leveraged by Wikipedia contributors and editors seeking to update disease-related Wikipedia articles with relevant Cochrane reviews (thus improving their quality), and online information seekers in need of additional information to supplement their Wikipedia search. … (more)
- Is Part Of:
- Health informatics journal. Volume 26:Number 3(2020)
- Journal:
- Health informatics journal
- Issue:
- Volume 26:Number 3(2020)
- Issue Display:
- Volume 26, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 26
- Issue:
- 3
- Issue Sort Value:
- 2020-0026-0003-0000
- Page Start:
- 1881
- Page End:
- 1897
- Publication Date:
- 2020-09
- Subjects:
- Bibliometrics [MeSH] -- Encyclopedias as Topic [MeSH] -- Internet -- knowledge translation -- open knowledge -- peer review -- Wikipedia
Medical informatics -- Periodicals
610.285 - Journal URLs:
- http://jhi.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1460458219892711 ↗
- Languages:
- English
- ISSNs:
- 1460-4582
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13520.xml