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  • Item type:Publication,
    How Diverse Is Medicinal Chemistry? Insights into Race, Ethnicity, Origin, Gender, and Geography Open PDF 
    (2022)
    Hatley, R.J.D.
    ;
    McLachlan, S.P.
    ;
    Baster, K.
    ;
    Gelder, L.C.
    ;
    Macdonald, S.J.F.
    A bibliometric study of authors across medicinal chemistry journals over 20 years reveals important trends. Most United States (US) based authors are assigned as racially/ethnically Asian or White; few are Black or Hispanic. More US coauthors have the same race/ethnicity as the corresponding author than expected. The percentage of female authors increased globally, but only slowly. Since 2010, the number of female and male authors declined by 9% and 30%, respectively. Geographically, most authors are male except in Italy where there is gender balance. Gender homophily is observed globally. Geographically, the discipline is now more widely practiced. Article output doubled from 2000 to 2010 with a large increase in articles from China. China excepted, output has since declined. The average number of authors per article rose by a third since 2000. The value of high diversity groups in education, research, and industry cannot be overstated. We recommend diversity is addressed by every medicinal chemist. ©
  • Item type:Publication,
    Gender differences in representation, citations, and h-index: An empirical examination of the field of communication across the ten most productive countries Open PDF 
    (2024)
    Goyanes, Manuel
    ;
    Herrero, Esperanza
    ;
    de-Marcos, Luis
    Women researchers have been shown to be underrepresented in science, especially among the most productive scholars. This is especially relevant in the social sciences and humanities fields, where gender parity is closer, but disparities among top scholars are still pronounced. The gender gap in the field of communication has been explored from several approaches, but studies focusing on gender differences in representation, citations, and h-index are rather scarce. Drawing upon data retrieved from SciVal, we conducted a comparative study of the top 500 and top 100 most productive scholars (N = 5000) for each of the ten most productive countries in communication research in the 2019-2022 period: the United States, the United Kingdom, China, Spain, Germany, India, Australia, Canada, Italy, and the Netherlands. The results indicate a consistent underrepresentation of women, particularly among the top 500, across countries. Despite women being cited more frequently than men in some countries over shorter time frames, a gender bias persists favoring men, particularly when considering the h-index. All in all, our study shows that, despite hints of gender equality in citation patterns, the gender gap still constitutes a structural part of the field of communication when addressing gender representation in research productivity and long-term dynamics of research impact.
  • Item type:Publication,
    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.
  • Item type:Publication,
    Scientists' genders and international academic collaboration: An empirical study of Chinese universities and research institutes Open PDF 
    (2020)
    Zhang, M.
    ;
    Zhang, G.
    ;
    Liu, Y.
    ;
    Zhai, X.
    ;
    Han, X.
    In the previous literature, no clear conclusions have been reached about the effect of gender differences on research performance (RP) in science, as measured by publication productivity, number of citations, and academic awards. Meanwhile, a gap also exists in the research regarding gender differences in international academic collaboration. To complement the existing literature, this study investigated the achievements of scientists engaged in international academic collaboration, which places heavy demands on language and communication skills and in which female scientists appear to have more advantages than male scientists. We investigated the effect of international collaboration carried out by chemists from China's Project 985 universities and the Chinese Academy of Sciences and compared the extent to which the international collaboration improved female and male scientists' academic performance. The results indicated that, compared to male scientists, female scientists performed better and significantly improved their academic performance through international collaboration. This conclusion was valid for different periods throughout chemists' academic careers. The policy implications are discussed at the end of this study. © 2020 Elsevier Ltd.
  • Item type:Publication,
    Affiliation bias in peer review and the gender gap Open PDF 
    (2023)
    Si, K
    ;
    Li, YW
    ;
    Ma, C
    ;
    Guo, F
    We document an affiliation bias in top Chinese journals and the gender gap in the current affiliation effect. We find that papers written by researchers who are affiliated with the journals' host institutions on average receive fewer citation counts than those written by non-affiliated researchers. Moreover, we show that this affiliation bias is greater for men than for women. We propose that the current effect can be accounted for by a social capital mechanism, and we provide evidence consistent with our proposition. In addition, the results of our analyses demonstrate heterogeneity of the affiliation bias and the gender gap with regard to researcher status. We discuss alternative mechanisms of the current effect and implications of our research.
  • Item type:Publication,
    A social cognitive perspective on gender disparities in self-efficacy, interest, and aspirations in science, technology, engineering, and mathematics (STEM): the influence of cultural and gender norms Open PDF 
    (Springer Science and Business Media Deutschland GmbH, 2022)
    Chan, R.C.H.
    Background: The underrepresentation of women in science, technology, engineering, and mathematics (STEM) fields is well documented in developed countries, and yet public discussion of gender disparities in STEM in China is still in its nascent stage. Endorsement of traditional gender role beliefs and conformity to social norms are pertinent to Chinese culture, which may even exacerbate the gender disparities in STEM engagement. Grounded in social cognitive career theory, the present study drew on a national sample of secondary school students (N = 3020) in China to estimate gender disparities in self-efficacy, interest, and aspirations in STEM and examine how cultural and gender norms influence STEM engagement. Results: The proposed sequential mediation model was supported, in which girls were more likely to show lower levels of self-efficacy than boys; this was associated with lower interest in STEM and lower motivation to pursue STEM careers. The results also supported the moderating effect of traditional gender role beliefs and found that gender differences in self-efficacy, interest, and aspirations in STEM were more apparent among students who strongly endorsed stereotypical views of male and female roles. Conclusions: The findings provide important implications for efforts to improve girls’ access to STEM education through curriculum enrichment and out-of-school time programs to bridge the gender gap in STEM. Access to female role models and gender-responsive pedagogy is also essential to boost girls’ self-efficacy in STEM and eradicate traditional gender role beliefs among all students. © 2022, The Author(s).
  • Item type:Publication,
    On the relationship between supervisor–supervisee gender difference and scientific impact of doctoral dissertations: Evidence from Humanities and Social Sciences in China Open PDF 
    (2020)
    Bu, Y.
    ;
    Li, H.
    ;
    Wei, C.
    ;
    Liu, M.
    ;
    Li, J.
    This article explores the relationships between supervisor–supervisee gender difference and the scientific impact of doctoral dissertations. We use the China Doctoral Dissertations Full-text Database and pay special attention to the fields of Humanities and Social Sciences in China in our empirical study. By establishing regression models, we find that the ranks of the scientific impact regarding doctoral dissertations are female–female (first), female–male (second), male–male (third) and male–female (fourth) pairs (sequence: student gender and then supervisor gender). The finding has many interesting implications for science policy and gender inequality. © The Author(s) 2020.