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[PMID]:29362788
[Au] Autor:Serghiou S; Ioannidis JPA
[Ad] Endereço:Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California.
[Ti] Título:Altmetric Scores, Citations, and Publication of Studies Posted as Preprints.
[So] Source:JAMA;319(4):402-404, 2018 01 23.
[Is] ISSN:1538-3598
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Bibliometria
Publicações Periódicas como Assunto
Editoração
[Mh] Termos MeSH secundário: Internet
Modelos Estatísticos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180311
[Lr] Data última revisão:
180311
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:180125
[St] Status:MEDLINE
[do] DOI:10.1001/jama.2017.21168


  2 / 62175 MEDLINE  
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[PMID]:29362785
[Au] Autor:Flanagin A; Christiansen SL; Borden C; Kyriacou DN; Sietmann C; Williams E; Bryant L
[Ad] Endereço:The JAMA Network, Chicago, Illinois.
[Ti] Título:Editorial Evaluation, Peer Review, and Publication of Research Reports With and Without Supplementary Online Content.
[So] Source:JAMA;319(4):410, 2018 Jan 23.
[Is] ISSN:1538-3598
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Revisão da Pesquisa por Pares
Editoração
[Mh] Termos MeSH secundário: Pesquisa Biomédica
Políticas Editoriais
Internet
Publicações Periódicas como Assunto
Relatório de Pesquisa
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180311
[Lr] Data última revisão:
180311
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:180125
[St] Status:MEDLINE
[do] DOI:10.1001/jama.2017.20650


  3 / 62175 MEDLINE  
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[PMID]:29437646
[Au] Autor:Dobson J; Yin D; Abbasi K
[Ad] Endereço:The BMJ, London, UK jdobson@bmj.com.
[Ti] Título:Chinese translations on bmj.com.
[So] Source:BMJ;360:k552, 2018 02 05.
[Is] ISSN:1756-1833
[Cp] País de publicação:England
[La] Idioma:eng
[Mh] Termos MeSH primário: Internet
Publicações Periódicas como Assunto
Traduções
[Mh] Termos MeSH secundário: China
Seres Humanos
[Pt] Tipo de publicação:EDITORIAL
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:180214
[St] Status:MEDLINE
[do] DOI:10.1136/bmj.k552


  4 / 62175 MEDLINE  
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[PMID]:29420654
[Au] Autor:Sen R; Quercia D
[Ad] Endereço:Indian Institute of Technology Delhi, Delhi, India.
[Ti] Título:World wide spatial capital.
[So] Source:PLoS One;13(2):e0190346, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:In its most basic form, the spatial capital of a neighborhood entails that most aspects of daily life are located close at hand. Urban planning researchers have widely recognized its importance, not least because it can be transformed in other forms of capital such as economical capital (e.g., house prices, retail sales) and social capital (e.g., neighborhood cohesion). Researchers have already studied spatial capital from official city data. Their work led to important planning decisions, yet it also relied on data that is costly to create and update, and produced metrics that are difficult to compare across cities. By contrast, we propose to measure spatial capital in cheap and standardized ways around the world. Hence the name of our project "World Wide Spatial Capital". Our measures are cheap as they rely on the most basic information about a city that is currently available on the Web (i.e., which amenities are available and where). They are also standardized because they can be applied in any city in the five continents (as opposed to previous metrics that were mainly applied in USA and UK). We show that, upon these metrics, one could produce insights at the core of the urban planning discipline: which areas would benefit the most from urban interventions; how to inform planning depending on whether a city's activity is mono- or poly-centric; how different cities fare against each other; and how spatial capital correlates with other urban characteristics such as mobility patterns and road network structure.
[Mh] Termos MeSH primário: Internet
Distribuição Espacial da População
[Mh] Termos MeSH secundário: Planejamento de Cidades
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180209
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0190346


  5 / 62175 MEDLINE  
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[PMID]:29385198
[Au] Autor:Wang J; Zhang T; Lu Y; Zhou G; Chen Q; Niu B
[Ad] Endereço:Shanghai Key Laboratory of Bio-Energy Crops, School of Life Sciences, Shanghai University, Shanghai, P. R. China.
[Ti] Título:Vesicular stomatitis forecasting based on Google Trends.
[So] Source:PLoS One;13(1):e0192141, 2018.
[Is] ISSN:1932-6203
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Vesicular stomatitis (VS) is an important viral disease of livestock. The main feature of VS is irregular blisters that occur on the lips, tongue, oral mucosa, hoof crown and nipple. Humans can also be infected with vesicular stomatitis and develop meningitis. This study analyses 2014 American VS outbreaks in order to accurately predict vesicular stomatitis outbreak trends. METHODS: American VS outbreaks data were collected from OIE. The data for VS keywords were obtained by inputting 24 disease-related keywords into Google Trends. After calculating the Pearson and Spearman correlation coefficients, it was found that there was a relationship between outbreaks and keywords derived from Google Trends. Finally, the predicted model was constructed based on qualitative classification and quantitative regression. RESULTS: For the regression model, the Pearson correlation coefficients between the predicted outbreaks and actual outbreaks are 0.953 and 0.948, respectively. For the qualitative classification model, we constructed five classification predictive models and chose the best classification predictive model as the result. The results showed, SN (sensitivity), SP (specificity) and ACC (prediction accuracy) values of the best classification predictive model are 78.52%,72.5% and 77.14%, respectively. CONCLUSION: This study applied Google search data to construct a qualitative classification model and a quantitative regression model. The results show that the method is effective and that these two models obtain more accurate forecast.
[Mh] Termos MeSH primário: Internet
Gado
Estomatite Vesicular/epidemiologia
[Mh] Termos MeSH secundário: Animais
Surtos de Doenças
Previsões
Ruminantes
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1803
[Cu] Atualização por classe:180309
[Lr] Data última revisão:
180309
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:180201
[St] Status:MEDLINE
[do] DOI:10.1371/journal.pone.0192141


  6 / 62175 MEDLINE  
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[PMID]:27777275
[Au] Autor:Tamborello FP; Trafton JG
[Ad] Endereço:Cogscent, LLC, Houston, TX.
[Ti] Título:Human Error as an Emergent Property of Action Selection and Task Place-Holding.
[So] Source:Hum Factors;59(3):377-392, 2017 05.
[Is] ISSN:1547-8181
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: A computational process model could explain how the dynamic interaction of human cognitive mechanisms produces each of multiple error types. BACKGROUND: With increasing capability and complexity of technological systems, the potential severity of consequences of human error is magnified. Interruption greatly increases people's error rates, as does the presence of other information to maintain in an active state. METHOD: The model executed as a software-instantiated Monte Carlo simulation. It drew on theoretical constructs such as associative spreading activation for prospective memory, explicit rehearsal strategies as a deliberate cognitive operation to aid retrospective memory, and decay. RESULTS: The model replicated the 30% effect of interruptions on postcompletion error in Ratwani and Trafton's Stock Trader task, the 45% interaction effect on postcompletion error of working memory capacity and working memory load from Byrne and Bovair's Phaser Task, as well as the 5% perseveration and 3% omission effects of interruption from the UNRAVEL Task. CONCLUSION: Error classes including perseveration, omission, and postcompletion error fall naturally out of the theory. APPLICATION: The model explains post-interruption error in terms of task state representation and priming for recall of subsequent steps. Its performance suggests that task environments providing more cues to current task state will mitigate error caused by interruption. For example, interfaces could provide labeled progress indicators or facilities for operators to quickly write notes about their task states when interrupted.
[Mh] Termos MeSH primário: Cognição
Simulação por Computador
Memória de Curto Prazo
Análise e Desempenho de Tarefas
[Mh] Termos MeSH secundário: Seres Humanos
Internet
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, U.S. GOV'T, NON-P.H.S.
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM; S
[Da] Data de entrada para processamento:161026
[St] Status:MEDLINE
[do] DOI:10.1177/0018720816672529


  7 / 62175 MEDLINE  
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[PMID]:29258979
[Au] Autor:Britt RK; Collins WB; Wilson K; Linnemeier G; Englebert AM
[Ad] Endereço:Department of Journalism and Mass Communication, South Dakota State University, Brookings, SD, United States.
[Ti] Título:eHealth Literacy and Health Behaviors Affecting Modern College Students: A Pilot Study of Issues Identified by the American College Health Association.
[So] Source:J Med Internet Res;19(12):e392, 2017 Dec 19.
[Is] ISSN:1438-8871
[Cp] País de publicação:Canada
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: The eHealth Literacy Scale (eHEALS) has been widely adopted by researchers to understand how eHealth literacy can be put into context. eHealth researchers need to know how to promote positive health behavior changes across college students, given the importance of the Internet to acquire and use health information. The American College Health Association identified a set of key health issues that affect college students today. By understanding how eHEALS might be related to college students' maintenance of their health and their use of online health resources, researchers will be provided with a better understanding of eHealth literacy and its pragmatic implications for health campaigns and future interventions. OBJECTIVE: The goal of the study was to examine what eHEALS reveals about college student health behaviors identified by the American College Health Association. To understand college student current health maintenance and their intentions to maintain their health and use online resources, the theory of planned behavior was used as the theoretical framework for the study. METHODS: Data were collected via a survey of 422 college students that included the eHEALS measure and questions about health issues based on the recommendations of the American College Health Association. These questions asked about college student current health, subsequent use of online health resources, and their intention to maintain their health and make use of such resources in the future. RESULTS: eHEALS was positively and significantly associated with all 8 areas of health issues identified by the American College Health Association for college student current maintenance of health and use of online health resources and for future intention of health maintenance and use of online resources. Key issues that emerged with eHealth literacy were maintaining safe sex practices and seeking out related information, seeking out information on an exercise regime, information on vaccinations, and maintaining a balanced diet. CONCLUSIONS: These results suggest several areas that may be targeted for future health campaigns toward college students. In addition, eHEALS was found to be a useful instrument for college students in the United States. Lastly, these results point to a need to deliver targeted information to college students, particularly since eHEALS captures literacy based on positively phrased items.
[Mh] Termos MeSH primário: Comportamentos Relacionados com a Saúde
Alfabetização em Saúde/métodos
Internet/utilização
Telemedicina/métodos
[Mh] Termos MeSH secundário: Feminino
Seres Humanos
Masculino
Projetos Piloto
Estudantes
Inquéritos e Questionários
Estados Unidos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171221
[St] Status:MEDLINE
[do] DOI:10.2196/jmir.3100


  8 / 62175 MEDLINE  
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[PMID]:29220450
[Au] Autor:Aksoy BA; Dancík V; Smith K; Mazerik JN; Ji Z; Gross B; Nikolova O; Jaber N; Califano A; Schreiber SL; Gerhard DS; Hermida LC; Jagu S; Sander C; Floratos A; Clemons PA
[Ad] Endereço:Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
[Ti] Título:CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network.
[So] Source:Database (Oxford);2017, 2017 Jan 01.
[Is] ISSN:1758-0463
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Database URL: https://ctd2-dashboard.nci.nih.gov/.
[Mh] Termos MeSH primário: Biologia Computacional/métodos
Bases de Dados Factuais
Internet
Neoplasias/genética
Interface Usuário-Computador
[Mh] Termos MeSH secundário: Seres Humanos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171209
[St] Status:MEDLINE
[do] DOI:10.1093/database/bax054


  9 / 62175 MEDLINE  
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[PMID]:29220448
[Au] Autor:Janfaza S; Banan Nojavani M; Khorsand B; Nikkhah M; Zahiri J
[Ad] Endereço:Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Ale Ahmad Highway, Tehran 14117, Iran.
[Ti] Título:Cancer Odor Database (COD): a critical databank for cancer diagnosis research.
[So] Source:Database (Oxford);2017, 2017 Jan 01.
[Is] ISSN:1758-0463
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Database URL : http://bioinf.modares.ac.ir/software/cod/.
[Mh] Termos MeSH primário: Bases de Dados Factuais
Neoplasias/metabolismo
Odorantes
Software
Compostos Orgânicos Voláteis
[Mh] Termos MeSH secundário: Pesquisa Biomédica
Seres Humanos
Internet
Interface Usuário-Computador
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (Volatile Organic Compounds)
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171209
[St] Status:MEDLINE
[do] DOI:10.1093/database/bax055


  10 / 62175 MEDLINE  
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[PMID]:29220437
[Au] Autor:Torres F; Arias-Carrasco R; Caris-Maldonado JC; Barral A; Maracaja-Coutinho V; De Queiroz ATL
[Ad] Endereço:Centro de Pesquisas Gonçalo Moniz (CPqGM), Fundação Oswaldo Cruz (FIOCRUZ), Salvador, Brazil.
[Ti] Título:LeishDB: a database of coding gene annotation and non-coding RNAs in Leishmania braziliensis.
[So] Source:Database (Oxford);2017, 2017 Jan 01.
[Is] ISSN:1758-0463
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Database URL: www.leishdb.com.
[Mh] Termos MeSH primário: Genes de Protozoários/genética
Leishmania braziliensis/genética
RNA não Traduzido/genética
Interface Usuário-Computador
[Mh] Termos MeSH secundário: Genômica
Internet
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Nm] Nome de substância:
0 (RNA, Untranslated)
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180308
[Lr] Data última revisão:
180308
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171209
[St] Status:MEDLINE
[do] DOI:10.1093/database/bax047



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