尽管女性在科学领域的代表性有所提高,妇女在科学出版物中的代表性仍然不足。这项研究通过AMIA年度研讨会比较了学术传播中的男女。
通过一项回顾性观察研究,我们分析了2017-2020年AMIA提交的面板差异,文件,讲台摘要,海报,工作坊,和奖励男性与女性相比。我们使用Genderize.io为作者和审稿人分配了一个女人或男人的标签,然后比较提交率和接受率,进行回归分析以评估假定性别的影响,并对审阅者的评论进行了情感分析。
在Genderize.io可以根据名字预测男人或女人的4687个提交中,40%由女性领导,60%由男性领导。接受率是微笑的。尽管女性的提交率和接受率在四年中有所增加,女性主导的讲台摘要,面板,讲习班的代表性不足。男性审稿人增加了被拒绝的几率。男性提供较长的评论和较低的评论分数,但是女性提供了更积极的评论。
总的来说,我们的发现反映了在4年的会议数据分析中,女性获得了显著的收益.然而,仍然有机会提高妇女在讲习班提交材料中的代表性,面板和讲台抽象演讲者,和平衡的同行评审。未来的分析可以通过直接从作者那里收集性别来加强,包括不同的性别,如非二进制。
我们发现几乎没有证据表明在服从中对女性有重大偏见,接受,以及2017年至2020年与AMIA年度研讨会相关的奖项。由于作者和审稿人的分析,我们的研究是独一无二的。令人鼓舞的发现提高了人们对生物医学信息学科学传播的进展和剩余机会的认识。
Although the representation of women in science has improved, women remain underrepresented in scientific publications. This study compares women and men in scholarly dissemination through the AMIA Annual Symposium.
Through a retrospective observational study, we analyzed 2017-2020 AMIA submissions for differences in panels, papers, podium abstracts, posters, workshops, and awards for men compared with women. We assigned a label of woman or man to authors and reviewers using Genderize.io, and then compared submission and acceptance rates, performed regression analyses to evaluate the impact of the assumed gender, and performed sentiment analysis of reviewer comments.
Of the 4687 submissions for which Genderize.io could predict man or woman based on first name, 40% were led by women and 60% were led by men. The acceptance rate was smilar. Although submission and acceptance rates for women increased over the 4 years, women-led podium abstracts, panels, and workshops were underrepresented. Men reviewers increased the odds of rejection. Men provided longer reviews and lower reviewer scores, but women provided reviews that had more positive words.
Overall, our findings reflect significant gains for women in the 4 years of conference data analyzed. However, there remain opportunities to improve representation of women in workshop submissions, panel and podium abstract speakers, and balanced peer reviews. Future analyses could be strengthened by collecting gender directly from authors, including diverse genders such as non-binary.
We found little evidence of major bias against women in submission, acceptance, and awards associated with the AMIA Annual Symposium from 2017 to 2020. Our study is unique because of the analysis of both authors and reviewers. The encouraging findings raise awareness of progress and remaining opportunities in biomedical informatics scientific dissemination.