Gender distribution in psychiatry journals' editorial boards worldwide.

Gender disparity has been documented in advanced doctoral degrees, research, and academic positions, and therefore, it can logically be deduced that the gender disparity would be found in journals' editorial boards. In this study, we sought to determine the gender distribution in editorial boards of psychiatry journals worldwide. We also studied the academic achievements of editorial board members by comparing professional background, education level, and research productivity indices. We analyzed the gender of editorial members of 119 psychiatry journals from Clarivate Analytics' Journal Citation Reports. Our data included 8423 editorial board members from which we randomly selected 10% editorial board members to represent the full sample for further analyses. Overall, women represented 30.4% of editorial board and approximately 30% in each category: (1) Editor-in-chief/deputies, (2) Associate/section editors, (3) Editorial board*, and (4) Advisory board. The majority (65%) of men were M.D. psychiatrists, and women (58%) were Ph.D. psychologists. Women in editorial leadership positions (Category 1 & 2) were correlated with fewer women in editorial or advisory boards. Women had half the mean number of publications than men while serving journals with approximately the same mean impact factor. Our study results show that, besides gender disparity, gender bias does not exist in the psychiatry journal editorial boards. Given the implication of the editorial board position on science, academic advancement, and networking, this disparity remains detrimental to achieving equity, diversity, and inclusion in academic psychiatry.

Bibliometric analysis of manuscript characteristics that influence citations: A comparison of six major psychiatry journals.

In this study we investigated the characteristics of psychiatry manuscript that influence its citation rate. We conducted a cross-sectional study of published articles (n = 545), from January to June 2007, from 6 major psychiatry journals with the highest 5-year impact-factor. Citation count for these articles was retrieved from Web Of Science (by Clarivate Analytics) and 22 article characteristics were tabulated manually. We then predicted the citation rate by performing univariate analysis, spearman rank-order correlation, and multiple regression model on the collected variables. Using spearman rank-order correlation, we found the following variables to have significant positive correlation with citations: abstract character count (rs and p-value, 0.22 and 0.001 respectively), number of references (0.2, 0.01), abstract word count (0.17, 0.0005), number of pages (0.15, 0.003), open access (0.06, 0.05), study design reported in title (0.04, 0.0001), total number of words (0.03, 0.01) and structured abstract (0.03, 0.0009). In a multivariate linear regression model, the following variables predicted increased citation rates (p < 0.001, R2 = 0.38): reporting of study design in title, structured abstract and open access. Editors and authors of psychiatry journals can improve the impact of their journals and articles by utilizing this bibliometric study when assembling their manuscript.

Neuroimaging in Psychiatric Disorders: A Bibliometric Analysis of the 100 Most Highly Cited Articles.

BACKGROUND AND PURPOSE: Extensive research has been conducted to find neuroimaging biomarkers for psychiatric disorders. This study aimed at identifying trends of the 100 most highly cited articles on neuroimaging in primary psychiatric disorders. METHODS: The most highly cited original research articles were identified and analyzed, following searches of MEDLINE and Web of Science All Databases. RESULTS: The top 100 articles ranked by yearly citation (from 137.5 to 31.1) were published between 1989 and 2017. Depressive disorders (30 articles), schizophrenia spectrum and other psychotic disorders (27), autism spectrum disorder (17), substance-related and addictive disorders (7), and post-traumatic stress disorder (7) were among the most studied conditions. Functional magnetic resonance imaging (42), structural magnetic resonance imaging (30), and positron emission tomography (22) were the most utilized neuroimaging modalities. While 85 articles investigated the pathophysiology of psychiatric disorders (including 7 focusing on developmental changes and 1 on genetic susceptibility), 15 articles studied the impact of treatment, including antidepressants (6), deep brain stimulation (4), antipsychotics (3), behavior therapy (3), and exercise (1). The analysis also identified the most contributing authors, countries (the United States: 71 articles, the United Kingdom: 8, Canada: 5, and China: 5), and journals (JAMA Psychiatry: 20 articles and Biological Psychiatry: 17). Ninety-eight studies were prospective, and two were retrospective. The sample size ranged from 3 to 1,188 (median: 21). CONCLUSIONS: Our study identified intellectual milestones in the utility of neuroimaging in investigating primary psychiatric disorders. The historic trends could help guide future research in this field.