The present study aims to analyze 1) the relationship between Citation Normalized Score of scientific publications and Article Processing Charges (APCs) of Gold Open Access (OA) publications 2) the determinants of APCs. To do so, we used APCs information provided by the OpenAPC database, citation scores of publications from the WoS database and, for Altmetrics, data from Altmetrics.com database, over the period from 2006 to 2019 for 83,752 articles published in 4751 journals belonging to 267 distinct publishers. Results show that contrary to common belief, paying high APCs does not necessarily increase the impact of publications. First, large publishers with high impact are not the most expensive. Second, publishers with the highest APCs are not necessarily the best in terms of impact. Correlation between APCs and impact is moderate. Regarding the determinants, results indicate that APCs are on average 50% higher in hybrid journals than in full OA journals. The results also suggest that Altmetrics do not have a great impact: OA articles that have garnered the most attention on internet are articles with relatively low APCs. Another interesting result is that the "number of readers" indicator is more effective as it is more correlated with classic bibliometrics indicators than the Altmetrics score.
The issue of Open Access (OA) to scientific publications is attracting growing interest within the scientific community and among policy makers. Open access indicators are being calculated. In its 2019 ranking, the "Centre for Science and Technology Studies" (CWTS) provides the number and the share of OA publications per institution. This gives an idea of the degree of openness of institutions. However, not taking into account the disciplinary specificities and the specialization of institutions makes comparisons based on the shares of OA publications biased. We show that OA publishing practices vary considerably according to discipline. As a result, we propose two methods to normalize OA share; by WoS subject categories and by disciplines. Normalized Open Access Indicator (NOAI) corrects for disciplinary composition and allows a better comparability of institutions or countries.
The aim of this paper is twofold: (1) contribute to a better understanding of the place of women in Economics and Management disciplines by characterizing the difference in levels of scientific collaboration between men and women at the specialties’ level; and (2) investigate the relationship between gender diversity and citation impact in Economics and Management. Our data, extracted from the Web of Science database, cover global production as indexed in 302 journals in Economics and 370 journals in Management, with, respectively, 153,667 and 163,567 articles published between 2008 and 2018. Results show that collaborative practices between men and women are quite different in Economics and Management. We also find that there is a modest positive and significant effect of gender diversity on the citation impact of publications. Mixed‐gender publications (coauthored by men and women) receive more citations than nonmixed papers (written by same‐gender author teams) or single‐author publications. The regression analysis also indicates that there is, for Economics, a small negative effect on citations received if the corresponding author is a woman. Finally, the country (affiliation) of the corresponding author affects the citations received in the two disciplines.
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