3 research outputs found

    Impact of researchgate on increasing citations and usage counts of hot papers in clinical medicine indexed in web of science

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    The purpose of this research was to conduct a comparative study of the impact of ResearchGate indicators on increasing citation and usage counts of hot papers in clinical medicine indexed in the Web of Science (WoS) database. This is an applied research and has been performed using scientometric methods. Article titles, the number of citations, "Usage count last 180 days", "Usage count since 2013", publication year, and authors of 583 hot papers in clinical medicine were extracted from the WoS database. Then, the readership and citation counts of articles were extracted from ResearchGate social network. The data were analyzed by descriptive and analytical statistics using Microsoft Excel and SPSS 21. The results showed that there was a significant relationship between the number of received citations, both usage counts in WoS and ResearchGate indicators (P value ≤ 0.01). Self-archiving in scientific social networking sites such as ResearchGate may be effective on visibility of articles that may also be related to their received citations. © 2020, Elmira Janavi, Somayyeh Nadi-Ravandi and Zahra Batooli

    The effects of caffeine intake on weight loss: a systematic review and dos-response meta-analysis of randomized controlled trials

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    This systematic review and meta-analysis of randomized controlled trials (RCTs) was performed to summarize the effect of caffeine intake on weight loss. We searched the following databases until November 2017: MEDLINE, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials. The relevant data were extracted and assessed for quality of the studies according to the Cochrane risk of bias tool. We estimated an intake-status regression coefficient (Beta) for each primary study and estimated the overall pooled Beta and SE using random effects meta-analysis on a double-log scale. Heterogeneity between studies was assessed by the Cochran Q statistic and I-squared tests (I2). Thirteen RCTs with 606 participants were included in the meta-analyses. The overall pooled Beta for the effect of caffeine intake was 0.29 (95CI: 0.19, 0.40; Q = 124.5, I2 = 91.2) for weigh, 0.23 (95CI: 0.09, 0.36; Q = 71.0, I2 = 93.0) for BMI, and 0.36 (95 CI: 0.24, 0.48; Q = 167.36, I2 = 94.0) for fat mass. For every doubling in caffeine intake, the mean reduction in weight, BMI, and fat mass increased 2 Beta-fold (20.29 = 1.22, 20.23 = 1.17, and 20.36 = 1.28), which corresponding to 22, 17, and 28 percent, respectively. Overall, the current meta-analysis demonstrated that caffeine intake might promote weight, BMI and body fat reduction. © 2018, © 2018 Taylor & Francis Group, LLC
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