Sex difference and socioeconomic inequity in hypertension: a national survey study of 98,658 adults from 162 study sites (Preprint)
Xiaoyun ZhangSiyu WangQianqian YangRuizhi ZhengLong WangHong LinShuangyuan WangMian LiTiange WangZhiyun ZhaoJieli LuMin XuYuhong ChenJie ZhengMeng DaiDi ZhangWeiqing WangGuang NingYufang BiYu Xu
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Sex differences in blood pressure (BP) levels and hypertension are important and the role of socioeconomic status (SES) in sex differences of hypertension remains unclear.Keywords:
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The ArXiv preprint archive for research articles in physics, mathematics, computer science and related disciplines was initiated by Paul Ginsparg in 1991. ArXiv enables the rapid dissemination of research articles prior to peer review, and it quickly became very successful in this.
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Preprint is work papers shared before peer review. A preprint contains full or partial draft of a work papers that are shared publicly before it have been peer reviewed. I see that preprint have been increasingly popular option for authors. The biggest benefits fall into four areas: showcase, credit, feedback, and visibility.
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This toolkit aims to help individual reviewers who read a preprint, and are motivated to give feedback to the authors, to be able to quickly and easily post their peer review report.
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Preprint servers can enhance the access to scientific knowledge by linking indexed papers in bibliography databases to their counterpart preprint versions whenever available. The current state of connection is to link preprints to their published versions in peer-reviewed journals. Here, I suggest the opposite. That is, linking indexed journal papers to their preprint versions wherever these are posted on a preprint server. Such linking from paid version (journals' articles) to their corresponding free preprint versions would make much sense as it removes the barrier to get access to pay walled papers for free.
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Abstract The authors have requested that this preprint be removed from Research Square.
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Abstract The authors have requested that this preprint be removed from Research Square.
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This data set contains the results of a survey about researchers’ experience with and attitudes toward preprinting. The survey respondents are authors of journal articles published in 2021 and 2022 and indexed in the Web of Science database. The questions in the survey are grouped into three sections: experience with preprinting, opinions on preprinting, and demographic questions. The Word document contains the survey form. The Excel spreadsheet contains the raw survey data. Free-text responses are not included in the spreadsheet because they may reveal sensitive information. For more information about this data set, please see the paper "To Preprint or Not to Preprint: Experience and Attitudes of Researchers Worldwide" by Rong Ni and Ludo Waltman. This paper will be published soon.
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This data set contains the results of a survey about researchers’ adoption of and attitudes toward preprinting. The survey respondents are authors of journal articles published in 2021 and early 2022 and indexed in the Web of Science database. The questions in the survey are grouped into three sections: adoption of preprinting, attitudes toward preprinting, and demographic questions. The Word document contains the survey form. The Excel spreadsheet contains the raw survey data. Free-text responses are not included in the spreadsheet because they may reveal sensitive information. For more information about this data set, please see the paper "To Preprint or Not to Preprint: A Global Researcher Survey" by Rong Ni and Ludo Waltman. This paper will be published soon.
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This data set contains the results of a survey about researchers’ adoption of and attitudes toward preprinting. The survey respondents are authors of journal articles published in 2021 and early 2022 and indexed in the Web of Science database. The questions in the survey are grouped into three sections: adoption of preprinting, attitudes toward preprinting, and demographic questions. The Word document contains the survey form. The Excel spreadsheet contains the raw survey data. Free-text responses are not included in the spreadsheet because they may reveal sensitive information. The "heatmap_Rdata.xlsx" and "heatmap_Rcode.txt" contain data and R code in Figs. 8, 9, 10. For more information about this data set, please see the paper "To Preprint or Not to Preprint: A Global Researcher Survey" by Rong Ni and Ludo Waltman. The paper is available at https://doi.org/10.31235/osf.io/k7reb.
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This data set contains the results of a survey about researchers’ adoption of and attitudes toward preprinting. The survey respondents are authors of journal articles published in 2021 and early 2022 and indexed in the Web of Science database. The questions in the survey are grouped into three sections: adoption of preprinting, attitudes toward preprinting, and demographic questions. The Word document contains the survey form. The Excel spreadsheet contains the raw survey data. Free-text responses are not included in the spreadsheet because they may reveal sensitive information. The "heatmap_Rdata.xlsx" and "heatmap_Rcode.txt" contain data and R code in Figs. 8, 9, 10. For more information about this data set, please see the paper "To Preprint or Not to Preprint: A Global Researcher Survey" by Rong Ni and Ludo Waltman. The paper is available at https://doi.org/10.31235/osf.io/k7reb.
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