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Citation Sentiment Analysis in Clinical Trial Papers

Jun Xu, Yaoyun Zhang, Yonghui Wu, Jingqi Wang, Xiao Dong, Hua Xu
2015 AMIA Annual Symposium Proceedings  
A citation sentiment corpus was annotated first on clinical trial papers.  ...  In this study, we focus on citation sentiment analysis, which aims to determine the sentiment polarity that the citation context carries towards the cited paper.  ...  Acknowledgments This study is supported in part by grants from NLM 2R01LM010681-05, NIGMS 1R01GM103859 and 1R01GM102282. The first author (JX) is partially supported by NSFC 61203378.  ... 
pmid:26958274 pmcid:PMC4765697 fatcat:24nr3efh4fhytk7doj3vrsn3je

F1000Prime recommended articles and their citations: an exploratory study of four journals

Peiling Wang, Joshua Williams, Nan Zhang, Qiang Wu
2019 Scientometrics  
The peak citation year of the articles ranged from 2 to 8 years after the publication year for NEJM.  ...  This study examined F1000Prime recommended research and review articles published in Cell, JAMA: The Journal of the American Medical Association, The Lancet, and The New England Journal of Medicine (NEJM  ...  Wang and Williams wish to acknowledge the 2019 Dean's Summer Research grant, the College of Communication and Information, The University of Tennessee, Knoxville.  ... 
doi:10.1007/s11192-019-03302-w fatcat:kvt3zsminfafjhsmealzqvmo6u

Automated citation sentiment analysis: What can we learn from biomedical researchers

Bei Yu
2013 Proceedings of the American Society for Information Science and Technology  
This paper analyzed biomedical researchers' need by reviewing their publications on using manual citation sentiment analysis for detecting citation bias, and discussed the differences between biomedical  ...  Automated citation sentiment analysis is a newly emerged research topic inspired by traditional citation context analysis in scientometrics and applied linguistics.  ...  Researchers focused their analyses on claim and citation sentiment and did not pursue more fine-grained citation function classification proposed in scientometrics studies.  ... 
doi:10.1002/meet.14505001084 fatcat:3y4hqslybnc3hhgpeepg5ldmsa

A qualitative and quantitative analysis of open citations to retracted articles: the Wakefield et al.'s case [article]

Ivan Heibi, Silvio Peroni
2021 arXiv   pre-print
In this article, we show the results of a quantitative and qualitative analysis of open citations on a popular and highly cited retracted paper: "Ileal-lymphoid-nodular hyperplasia, non-specific colitis  ...  The main purpose of our study is to understand the behavior of the publications citing retracted articles and the characteristics of the citations the retracted articles accumulated over time.  ...  case study that might be of interest to a better understanding of the research or more specifically the medical research  ... 
arXiv:2012.11475v2 fatcat:ztv53zmt5jfofnzvzetsbieigu

Deep impact: unintended consequences of journal rank

Björn Brembs, Katherine Button, Marcus Munafò
2013 Frontiers in Human Neuroscience  
So far, contributions to the debate concerning the limitations of journal rank as a scientific impact assessment tool have either lacked data, or relied on only a few studies.  ...  In this review, we present the most recent and pertinent data on the consequences of our current scholarly communication system with respect to various measures of scientific quality (such as utility/citations  ...  in a study on medical research.  ... 
doi:10.3389/fnhum.2013.00291 pmid:23805088 pmcid:PMC3690355 fatcat:pruwjl6z2nb7hf5cteyjq2jnpq

Deep Impact: Unintended consequences of journal rank [article]

Björn Brembs, Marcus Munafò
2013 arXiv   pre-print
So far, contributions to the debate concerning the limitations of journal rank as a scientific impact assessment tool have either lacked data, or relied on only a few studies.  ...  In this review, we present the most recent and pertinent data on the consequences of our current scholarly communication system with respect to various measures of scientific quality (such as utility/citations  ...  Ferric Fang and Arturo Casadeval were so kind as to let us use their retraction data to re-plot their figure on a logarithmic scale ( Figure 1d ). We are grateful to George A.  ... 
arXiv:1301.3748v3 fatcat:2by3d3sh2fbw5irknixy6j7le4

Infodemiological study on COVID-19 epidemic and infodemic (Preprint)

Zhiwen Hu, Zhongliang Yang, Qi Li, An Zhang
2020 Journal of Medical Internet Research  
This study examined public engagement in the crisis communication about COVID-19 during the early epidemic stage and the practical strategy of social mobilization to mitigate the infodemic.  ...  territories that have reported confirmed cases of COVID-19.  ...  This study was supported in part by the National Natural Science Foundation of China under Grant U1936208 and Zhejiang Provincial Natural Science Foundation of China under Grant LZ21F020004.  ... 
doi:10.2196/22639 pmid:33156807 fatcat:pdunylwjijfxdpv4sudau5deii

Towards Explainable Fact Checking [article]

Isabelle Augenstein
2021 arXiv   pre-print
about public health.  ...  This thesis presents my research on automatic fact checking, including claim check-worthiness detection, stance detection and veracity prediction.  ...  which can be used to confirm or refute the claim are retrieved from the Web and ranked by their relevance to the claim (evidence retrieval and ranking).  ... 
arXiv:2108.10274v2 fatcat:5s4an6irezcjfmvvhmiaeqarh4

Scholarly Twitter metrics [article]

Stefanie Haustein
2018 arXiv   pre-print
measure in the context of research evaluation.  ...  By reviewing the literature on Twitter in scholarly communication and analyzing 24 million tweets linking to scholarly documents, it aims to provide a basic understanding of what tweets can and cannot  ...  (Bonetta, 2009, p. 452) A study by Tenopir, Volentine, and King (2013) found that academics on Twitter read more scholarly publications, which seems to confirm the use of Twitter as a publication alert  ... 
arXiv:1806.02201v2 fatcat:lce3kb7lkzf4tpbjhyaqpszfn4

Deep Learning applications for COVID-19

Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
2021 Journal of Big Data  
Natural Language Processing applications include mining COVID-19 research for Information Retrieval and Question Answering, as well as Misinformation Detection, and Public Sentiment Analysis.  ...  AbstractThis survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19.  ...  Opinions, findings, conclusions, or recommendations in this paper are the authors' and do not reflect the views of the NSF.  ... 
doi:10.1186/s40537-020-00392-9 pmid:33457181 pmcid:PMC7797891 fatcat:aokxo63z2rhdpfxo3egyf3xpcm

Data-driven classification of the certainty of scholarly assertions

Mario Prieto, Helena Deus, Anita de Waard, Erik Schultes, Beatriz García-Jiménez, Mark D Wilkinson
2020 PeerJ  
In this study, we use a series of questionnaires to determine how researchers classify various scholarly assertions, using three distinct certainty classification systems.  ...  The grammatical structures scholars use to express their assertions are intended to convey various degrees of certainty or speculation.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.7717/peerj.8871 pmid:32341891 pmcid:PMC7182025 fatcat:g22m43ehcbau7ewck64lfy36j4

Understanding Internet Usage

Robert Larose, Dana Mastro, Matthew S. Eastin
2001 Social science computer review  
In a survey of 171 college students, the social-cognitive model explained 60% of the available variance in Internet usage using multiple regression analysis, a significant improvement over prior uses and  ...  Like Bandura's social-cognitive theory, the uses and gratifications framework explains media use in terms of expected positive outcomes, or gratifications.  ...  He is the author and coauthor of a number of books on American and comparative politics and of articles on those subjects.  ... 
doi:10.1177/089443930101900401 fatcat:7xggydjopjcw5ojbfhyxj4sudu

Altmetrics for librarians: 100+ tips, tricks, and examples

Stacy Konkiel, Natalia Madjarevic, Amy Lightfoot
2016 Figshare  
Altmetrics are a hot topic in libraries nowadays, but what do they mean in a practical sense for the average librarian's work?  ...  In this ebook, you'll learn:The top resources for planning altmetrics outreach and workshops on your campus;How to use altmetrics to make collection development decisions;Why simple metrics are no good  ...  Raw metrics can't distinguish between a citation that celebrates research and a citation that refutes another article.  ... 
doi:10.6084/m9.figshare.3749838.v2 fatcat:yrlt42lp4vft5mct24esgm5fqy

Altmetrics for librarians: 100+ tips, tricks, and examples

Stacy Konkiel, Natalia Madjarevic, Amy Lightfoot
2016 Figshare  
Altmetrics are a hot topic in libraries nowadays, but what do they mean in a practical sense for the average librarian's work?  ...  In this ebook, you'll learn:The top resources for planning altmetrics outreach and workshops on your campus;How to use altmetrics to make collection development decisions;Why simple metrics are no good  ...  Raw metrics can't distinguish between a citation that celebrates research and a citation that refutes another article.  ... 
doi:10.6084/m9.figshare.3749838.v1 fatcat:6w5eoepenfgzhltawxrf5zphmy

Industry Induces Academic Science to Know Less about More

James A. Evans
2010 American Journal of Sociology  
other than borderlands appeared in Webster's (1902) : "A border or advance region of thought, sentiment, etc.  ...  In some cases industrial and academic scientists work on a common piece of research, either in parallel or side-by-side in a university or industrial laboratory.  ... 
doi:10.1086/653834 fatcat:tmpfrd5at5euzklt3ne63d32iu
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