Base de dados : MEDLINE
Pesquisa : L01.178.682.099.325 [Categoria DeCS]
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  1 / 6256 MEDLINE  
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PMID:29362788
Autor:Serghiou S; Ioannidis JPA
Endereço:Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California.
Título:Altmetric Scores, Citations, and Publication of Studies Posted as Preprints.
Fonte:JAMA; 319(4):402-404, 2018 01 23.
ISSN:1538-3598
País de publicação:United States
Idioma:eng
Tipo de publicação: JOURNAL ARTICLE


  2 / 6256 MEDLINE  
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PMID:29362787
Autor:Grundy Q; Dunn AG; Bourgeois FT; Coiera E; Bero L
Endereço:Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia.
Título:Prevalence of Disclosed Conflicts of Interest in Biomedical Research and Associations With Journal Impact Factors and Altmetric Scores.
Fonte:JAMA; 319(4):408-409, 2018 01 23.
ISSN:1538-3598
País de publicação:United States
Idioma:eng
Tipo de publicação: JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T


  3 / 6256 MEDLINE  
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PMID:29465594
Autor:Chien TW; Chang Y; Wang HY
Endereço:Medical Research Department, Chi-Mei Medical Center.
Título:Understanding the productive author who published papers in medicine using National Health Insurance Database: A systematic review and meta-analysis.
Fonte:Medicine (Baltimore); 97(8):e9967, 2018 Feb.
ISSN:1536-5964
País de publicação:United States
Idioma:eng
Resumo:Many researchers used National Health Insurance database to publish medical papers which are often retrospective, population-based, and cohort studies. However, the author's research domain and academic characteristics are still unclear.By searching the PubMed database (Pubmed.com), we used the keyword of [Taiwan] and [National Health Insurance Research Database], then downloaded 2913 articles published from 1995 to 2017. Social network analysis (SNA), Gini coefficient, and Google Maps were applied to gather these data for visualizing: the most productive author; the pattern of coauthor collaboration teams; and the author's research domain denoted by abstract keywords and Pubmed MESH (medical subject heading) terms.Utilizing the 2913 papers from Taiwan's National Health Insurance database, we chose the top 10 research teams shown on Google Maps and analyzed one author (Dr. Kao) who published 149 papers in the database in 2015. In the past 15 years, we found Dr. Kao had 2987 connections with other coauthors from 13 research teams. The cooccurrence abstract keywords with the highest frequency are cohort study and National Health Insurance Research Database. The most coexistent MESH terms are tomography, X-ray computed, and positron-emission tomography. The strength of the author research distinct domain is very low (Gini < 0.40).SNA incorporated with Google Maps and Gini coefficient provides insight into the relationships between entities. The results obtained in this study can be applied for a comprehensive understanding of other productive authors in the field of academics.
Tipo de publicação: JOURNAL ARTICLE; META-ANALYSIS; REVIEW


  4 / 6256 MEDLINE  
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PMID:29450515
Autor:Aakhus E; Mitra N; Lautenbach E; Joffe S
Endereço:Division of Hematology-Oncology, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Título:Gender and Byline Placement of Co-first Authors in Clinical and Basic Science Journals With High Impact Factors.
Fonte:JAMA; 319(6):610-611, 2018 02 13.
ISSN:1538-3598
País de publicação:United States
Idioma:eng
Tipo de publicação: JOURNAL ARTICLE


  5 / 6256 MEDLINE  
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PMID:29390340
Autor:Zhu X; Zhou X; Zhang Y; Sun X; Liu H; Zhang Y
Endereço:Public Health College, Qingdao University, Qingdao, China.
Título:Reporting and methodological quality of survival analysis in articles published in Chinese oncology journals.
Fonte:Medicine (Baltimore); 96(50):e9204, 2017 Dec.
ISSN:1536-5964
País de publicação:United States
Idioma:eng
Resumo:Survival analysis methods have gained widespread use in the filed of oncology. For achievement of reliable results, the methodological process and report quality is crucial. This review provides the first examination of methodological characteristics and reporting quality of survival analysis in articles published in leading Chinese oncology journals.To examine methodological and reporting quality of survival analysis, to identify some common deficiencies, to desirable precautions in the analysis, and relate advice for authors, readers, and editors.A total of 242 survival analysis articles were included to be evaluated from 1492 articles published in 4 leading Chinese oncology journals in 2013. Articles were evaluated according to 16 established items for proper use and reporting of survival analysis.The application rates of Kaplan-Meier, life table, log-rank test, Breslow test, and Cox proportional hazards model (Cox model) were 91.74%, 3.72%, 78.51%, 0.41%, and 46.28%, respectively, no article used the parametric method for survival analysis. Multivariate Cox model was conducted in 112 articles (46.28%). Follow-up rates were mentioned in 155 articles (64.05%), of which 4 articles were under 80% and the lowest was 75.25%, 55 articles were100%. The report rates of all types of survival endpoint were lower than 10%. Eleven of 100 articles which reported a loss to follow-up had stated how to treat it in the analysis. One hundred thirty articles (53.72%) did not perform multivariate analysis. One hundred thirty-nine articles (57.44%) did not define the survival time. Violations and omissions of methodological guidelines included no mention of pertinent checks for proportional hazard assumption; no report of testing for interactions and collinearity between independent variables; no report of calculation method of sample size. Thirty-six articles (32.74%) reported the methods of independent variable selection. The above defects could make potentially inaccurate, misleading of the reported results, or difficult to interpret.There are gaps in the conduct and reporting of survival analysis in studies published in Chinese oncology journals, severe deficiencies were noted. More endorsement by journals of the report guideline for survival analysis may improve articles quality, and the dissemination of reliable evidence to oncology clinicians. We recommend authors, readers, reviewers, and editors to consider survival analysis more carefully and cooperate more closely with statisticians and epidemiologists.
Tipo de publicação: JOURNAL ARTICLE


  6 / 6256 MEDLINE  
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PMID:29377889
Autor:Ruano J; Aguilar-Luque M; Gómez-Garcia F; Alcalde Mellado P; Gay-Mimbrera J; Carmona-Fernandez PJ; Maestre-López B; Sanz-Cabanillas JL; Hernández Romero JL; González-Padilla M; Vélez García-Nieto A; Isla-Tejera B
Endereço:Department of Dermatology, Reina Sofía University Hospital, Menéndez Pidal Ave, 14004 Córdoba, Spain.
Título:The differential impact of scientific quality, bibliometric factors, and social media activity on the influence of systematic reviews and meta-analyses about psoriasis.
Fonte:PLoS One; 13(1):e0191124, 2018.
ISSN:1932-6203
País de publicação:United States
Idioma:eng
Resumo:Researchers are increasingly using on line social networks to promote their work. Some authors have suggested that measuring social media activity can predict the impact of a primary study (i.e., whether or not an article will be highly cited). However, the influence of variables such as scientific quality, research disclosures, and journal characteristics on systematic reviews and meta-analyses has not yet been assessed. The present study aims to describe the effect of complex interactions between bibliometric factors and social media activity on the impact of systematic reviews and meta-analyses about psoriasis (PROSPERO 2016: CRD42016053181). Methodological quality was assessed using the Assessing the Methodological Quality of Systematic Reviews (AMSTAR) tool. Altmetrics, which consider Twitter, Facebook, and Google+ mention counts as well as Mendeley and SCOPUS readers, and corresponding article citation counts from Google Scholar were obtained for each article. Metadata and journal-related bibliometric indices were also obtained. One-hundred and sixty-four reviews with available altmetrics information were included in the final multifactorial analysis, which showed that social media and impact factor have less effect than Mendeley and SCOPUS readers on the number of cites that appear in Google Scholar. Although a journal's impact factor predicted the number of tweets (OR, 1.202; 95% CI, 1.087-1.049), the years of publication and the number of Mendeley readers predicted the number of citations in Google Scholar (OR, 1.033; 95% CI, 1.018-1.329). Finally, methodological quality was related neither with bibliometric influence nor social media activity for systematic reviews. In conclusion, there seems to be a lack of connectivity between scientific quality, social media activity, and article usage, thus predicting scientific success based on these variables may be inappropriate in the particular case of systematic reviews.
Tipo de publicação: JOURNAL ARTICLE; META-ANALYSIS; RESEARCH SUPPORT, NON-U.S. GOV'T; REVIEW


  7 / 6256 MEDLINE  
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PMID:29351350
Autor:Shen S; Cheng C; Yang J; Yang S
Endereço:Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing, China.
Título:Visualized analysis of developing trends and hot topics in natural disaster research.
Fonte:PLoS One; 13(1):e0191250, 2018.
ISSN:1932-6203
País de publicação:United States
Idioma:eng
Resumo:This study visualized and analyzed the developing trends and hot topics in natural disaster research. 19694 natural disaster-related articles (January 1900 to June 2015) are indexed in the Web of Science database. The first step in this study is using complex networks to visualize and analyze these articles. CiteSpace and Gephi were employed to generate a countries collaboration network and a disciplines collaboration network, and then attached hot topics to countries and disciplines, respectively. The results show that USA, China, and Italy are the three major contributors to natural disaster research. "Prediction model", "social vulnerability", and "landslide inventory map" are three hot topics in recent years. They have attracted attention not only from large countries like China but also from small countries like Panama and Turkey. Comparing two hybrid networks provides details of natural disaster research. Scientists from USA and China use image data to research earthquakes. Indonesia and Germany collaboratively study tsunamis in the Indian Ocean. However, Indonesian studies focus on modeling and simulations, while German research focuses on early warning technology. This study also introduces an activity index (AI) and an attractive index (AAI) to generate time evolution trajectories of some major countries from 2000 to 2013 and evaluate their trends and performance. Four patterns of evolution are visible during this 14-year period. China and India show steadily rising contributions and impacts, USA and England show relatively decreasing research efforts and impacts, Japan and Australia show fluctuating activities and stable attraction, and Spain and Germany show fluctuating activities and increasing impacts.
Tipo de publicação: JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T; REVIEW


  8 / 6256 MEDLINE  
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PMID:29320508
Autor:Alvaro E; Yanguas-Gil A
Endereço:Northwestern University Libraries, Northwestern University, Evanston, Illinois, United States of America.
Título:Characterizing the field of Atomic Layer Deposition: Authors, topics, and collaborations.
Fonte:PLoS One; 13(1):e0189137, 2018.
ISSN:1932-6203
País de publicação:United States
Idioma:eng
Resumo:This paper describes how Atomic Layer Deposition (ALD) has evolved over time using a combination of bibliometric, social network, and text analysis. We examined the rate of knowledge production as well as changes in authors, journals, and collaborators, showing a steady growth of ALD research. The study of the collaboration network of ALD scientists over time points out that the ALD research community is becoming larger and more interconnected, with a largest connected component that spans 90% of the authors in 2015. In addition, the evolution of network centrality measures (degree and betweenness centrality) and author productivity revealed the central figures in ALD over time, including new "stars" appearing in the last decade. Finally, the study of the title words in our dataset is consistent with a shift in focus on research topics towards energy applications and nanotechnology.
Tipo de publicação: JOURNAL ARTICLE


  9 / 6256 MEDLINE  
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PMID:29280889
Autor:Lin SJ; Chung KC; Rohrich RJ
Endereço:Boston, Mass.; Ann Arbor, Mich.; and Dallas, Texas From the Beth Israel Deaconess Medical Center, Harvard Medical School; the University of Michigan Medical School; and the Dallas Plastic Surgery Institute.
Título:Defining Outcomes Articles for the Journal.
Fonte:Plast Reconstr Surg; 141(1):239-244, 2018 01.
ISSN:1529-4242
País de publicação:United States
Idioma:eng
Tipo de publicação: JOURNAL ARTICLE


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PMID:29251437
Autor:Chenette EJ; Martin SJ
Endereço:The FEBS Journal Editorial Office, Cambridge, UK.
Título:50 years of The FEBS Journal: looking back as well as ahead.
Fonte:FEBS J; 284(24):4162-4171, 2017 Dec.
ISSN:1742-4658
País de publicação:England
Idioma:eng
Resumo:In this last issue of 2017, we're celebrating the 50th anniversary of The FEBS Journal. This Editorial considers how the journal has grown and changed from volume 1, issue 1 and outlines our exciting plans for the future.
Tipo de publicação: EDITORIAL; HISTORICAL ARTICLE



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