Illuminating Women's Hidden Contribution to Historical Theoretical Population Genetics. Issue 2 (3rd November 2018)
- Record Type:
- Journal Article
- Title:
- Illuminating Women's Hidden Contribution to Historical Theoretical Population Genetics. Issue 2 (3rd November 2018)
- Main Title:
- Illuminating Women's Hidden Contribution to Historical Theoretical Population Genetics
- Authors:
- Dung, Samantha Kristin
López, Andrea
Barragan, Ezequiel Lopez
Reyes, Rochelle-Jan
Thu, Ricky
Castellanos, Edgar
Catalan, Francisca
Huerta-Sánchez, Emilia
Rohlfs, Rori V - Abstract:
- Abstract: Through careful review of one eminent journal over the 1970s and 80s, Dung et al. found a surprisingly high proportion of the computational work was carried out by women. Consistent with authorship norms of the time... While productivity in academia is measured through authorship, not all scientific contributors have been recognized as authors. We consider nonauthor "acknowledged programmers" (APs), who developed, ran, and sometimes analyzed the results of computer programs. We identified APs in Theoretical Population Biology articles published between 1970 and 1990, finding that APs were disproportionately women ( P = 4.0 × 10 −10 ). We note recurrent APs who contributed to several highly-cited manuscripts. The occurrence of APs decreased over time, corresponding to the masculinization of computer programming and the shift of programming responsibilities to individuals credited as authors. We conclude that, while previously overlooked, historically, women have made substantial contributions to computational biology. For a video of this abstract, see: https://vimeo.com/313424402 .
- Is Part Of:
- Genetics. Volume 211:Issue 2(2019)
- Journal:
- Genetics
- Issue:
- Volume 211:Issue 2(2019)
- Issue Display:
- Volume 211, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 211
- Issue:
- 2
- Issue Sort Value:
- 2019-0211-0002-0000
- Page Start:
- 363
- Page End:
- 366
- Publication Date:
- 2018-11-03
- Subjects:
- acknowledged programmer -- authorship -- computational biology -- population genetics -- women in science
Genetics -- Periodicals
576.5 - Journal URLs:
- http://www.oxfordjournals.org/ ↗
- DOI:
- 10.1534/genetics.118.301277 ↗
- Languages:
- English
- ISSNs:
- 0016-6731
- 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:
- 25362.xml