Comparison and benchmark of name-to-gender inference services

Santamaría, L.; Mihaljević, Helena

doi:10.7717/peerj-cs.156

Cited by 297 publications

(281 citation statements)

References 12 publications

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“…“Andrea B.” would become “Andrea”). Gender API predicts gender using a database of >2 million name-gender relationships retrieved from governmental records and data crawled from social networks (Santamaria and Mihaljevic, 2018). The service accepts parameters for localization, which we included from our previously defined dataset of author countries.…”

Section: Methodsmentioning

confidence: 99%

The effect of bioRxiv preprints on citations and altmetrics

Fraser

Momeni

Mayr

et al. 2019

Preprint

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Section: Methodsmentioning

confidence: 99%

The effect of bioRxiv preprints on citations and altmetrics

Fraser

Momeni

Mayr

et al. 2019

Preprint

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“…For 3 298 951 papers that were published between 2008 and 2016 and could be matched with PubMed we assigned gender of first and last authors-which can be considered in medicine as dominant authorship positions 29 -using their names, according to our gender assignment algorithm 30. More details on the algorithm, which has also been used by Santamaría and Mihaljević31 and Karimi and colleagues,32 can be found in the supplementary materials of our previous work.…”

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confidence: 99%

Factors affecting sex-related reporting in medical research: a cross-disciplinary bibliometric analysis

et al. 2019

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Background Clinical and preclinical studies have shown that there are sex-based differences at the genetic, cellular, biochemical, and physiological levels. Despite this, numerous studies have shown poor levels of inclusion of female populations into medical research. These disparities in sex inclusion in research are further complicated by the absence of sufficient reporting and analysis by sex of study populations. Disparities in the inclusion of the sexes in medical research substantially reduce the utility of the results of such research for the entire population. The absence of sex-related reporting are problematical for the translation of research from the preclinical to clinical and applied health settings. Large-scale studies are needed to identify the extent of sex-related reporting and where disparities are more prevalent. In addition, while several studies have shown the dearth of female researchers in science, few have evaluated whether a scarcity of women in science might be related to disparities in sex inclusion and reporting. We aimed to do a cross-disciplinary analysis of the degree of sex-related reporting across the health sciences-from biomedical, to clinical, and public health research-and the role of author gender in sex-related reporting. Methods This bibliometric analysis analysed sex-related reporting in medical research examining more than 11•5 million papers indexed in Web of Science and PubMed between 1980 and 2016 and using sex-related Medical Subject Headings as a proxy for sex reporting. For papers that were published between 2008 and 2016 and could be matched with PubMed, we assigned a gender to first and last authors on the basis of their names, according to our gender assignment algorithm. We removed papers for which we could not determine the gender of either the first or last author. We grouped papers into three disciplinary categories (biomedical research, clinical medicine, and public health). We used descriptive statistics and regression analyses (controlling for the number of authors and representation of women in specific diseases, countries, continents, year, and specialty areas) to study associations between the gender of the authors and sex-related reporting.

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“…For speakers invited to the ICM 2018 in Rio de Janeiro, we extracted their names, country of citizenship and the ICM sections of their talks from the official ICM-2018 website. We used Python package gender-guesser2, which has shown very reliable results in a recent benchmark on name-based gender inference [17], to infer the gender3 of the speakers using their forenames when this information was missing. For speakers whose names are not highly correlated with only one gender (across different countries and languages), and for which gender-guesser hence did not produce a definite gender assignment, we filled this information manually, mainly based on field knowledge and Internet research.…”

Section: Data Basis and Methodsmentioning

confidence: 99%

A Data Analysis of Women’s Trails Among ICM Speakers

Mihaljević¹,

Roy²

2019

Association for Women in Mathematics Series

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The International Congress of Mathematicians (ICM), inaugurated in 1897, is the greatest effort of the mathematical community to strengthen international communication and connections across all mathematical fields. Meetings of the ICM have historically hosted some of the most prominent mathematicians of their time. Receiving an invitation to present a talk at an ICM signals the high international reputation of the recipient, and is akin to entering a 'hall of fame for mathematics'. Women mathematicians attended the ICMs from the start. With the invitation of Laura Pisati to present a lecture in 1908 in Rome and the plenary talk of Emmy Noether in 1932 in Zurich, they entered the grand international stage of their field. At the congress in 2014 in Seoul, Maryam Mirzakhani became the first woman to be awarded the Fields Medal, the most prestigious award in mathematics. In this article, we dive into assorted data sources to follow the footprints of women among the ICM invited speakers, analyzing their demographics and topic distributions, and providing glimpses into their diverse biographies.

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Comparison and benchmark of name-to-gender inference services

Cited by 297 publications

References 12 publications

The effect of bioRxiv preprints on citations and altmetrics

The effect of bioRxiv preprints on citations and altmetrics

Factors affecting sex-related reporting in medical research: a cross-disciplinary bibliometric analysis

A Data Analysis of Women’s Trails Among ICM Speakers

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