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More than a decade with ‘gender on the agenda’: have we made progress? Open PDF
(Elsevier BV, 2026-04)
Colvin, Lesley
;
Kemp, Harriet
As female clinical academics and members of the British Journal of Anaesthesia (BJA), we recognise the importance of gender equity, which remains an issue in academic medicine, despite the increase in the proportion of women in medical schools throughout the world. This inequity is most apparent at senior leadership levels, with the number of female professors in anaesthesia remaining in single digits in the UK, and at about 25% of full professors in the USA. A strong publication record is an important promotion metric in academia. In a 2013 analysis, only 39% of first and senior authors published in the BJA were women, whereas in our recent analysis, this proportion improved to 54%. The benefits of having increased representation of women as leaders are unequivocal, requiring active strategies to accelerate any progress that has been made. Initiatives such as the current BJA Special Issue on Women in Anaesthesia Research are key elements in this process.
Gender Trends in Authorship in Psychiatry Journals From 2008 to 2018 Open PDF
(2019)
Hart, Kamber L.
;
Frangou, Sophia
;
Perlis, Roy H.
BACKGROUND: Women are currently underrepresented in academic psychiatry. As publication activity reflects both leadership and participation in academia, we examined temporal trends in women's authorship by conducting a large-scale bibliometric study of psychiatry journals. METHODS: We examined changes in proportions of women in the first, last, and overall authorship positions over time; relationship to journal impact factor and editorial board makeup; and rates of transition to senior author status using original research articles published in the 24 highest-impact psychiatry journals between January 2008 and May 2018. RESULTS: In 30,934 articles, women represented 40.0% of all authors in 2008 and 44.8% in 2018, with a significant increase in the percentage of women as first authors (2008: 43.5%, 2018: 49.5%; B = 0.64, p = .002) and last authors over time (2008: 30.0%, 2018: 35.7%; B = 0.64, p = 1 × 10-5). Articles with women as last authors were significantly more likely than those with men as last authors to have a woman as first author (χ21 = 126.1, p < 2.2 × 10-16). Women exhibited slower rates of transition to the last author position (log rank p = 2 × 10-16); time to 10% transition was 5 years for men and 9 years for women. CONCLUSIONS: These results indicate continued improvement in the representation of women authors in psychiatry journals, resulting in near parity in first authors. However, slower rates of transition to the senior author position and continued underrepresentation of women as senior authors suggest ongoing challenges in achieving gender parity in academic leadership. At the present rate of change for last authors (0.64% increase per year), women would achieve parity in senior authorship in ∼20 to 25 years.
Advance Gender Prediction Tool of First Names and its Use in Analysing Gender Disparity in Computer Science in the UK, Malaysia and China
(Institute of Electrical and Electronics Engineers Inc., 2018)
Zhao, H.
;
Kamareddine, F.
Global gender disparity in science is an unsolved problem. Predicting gender has an important role in analysing the gender gap through online data. We study this problem within the UK, Malaysia and China. We enhance the accuracy of an existing gender prediction tools of names that can predict the sex of Chinese characters and English characters simultaneously and with more precision. During our research, we found that there is no free gender forecasting tool to predict an arbitrary number of names. We addressed this shortcoming by providing a tool that can predict an arbitrary number of names with free requests. We demonstrate our tool through a number of experimental results. We show that this tool is better than other gender prediction tools of names for analysing social problems with big data. In our approach, lists of data can be dynamically processed and the results of the data can be displayed with a dynamic graph. We present experiments of using this tool to analyse the gender disparity in computer science in the UK, Malaysia and China. © 2017 IEEE.
Sex Differences in Authorship of Academic Cardiology Literature Over the Last 2 Decades. Open PDF
(2018)
Asghar, Mariam
;
Usman, Muhammad Shariq
;
Aibani, Rafi
;
Ansari, Hamza Tahir
;
Siddiqi, Tariq Jamal

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