scholarly journals Query Specific Focused Summarization of Biomedical Journal Articles

2021 ◽  
Author(s):  
Akshara Rai ◽  
Suyash Sangwan ◽  
Tushar Goel ◽  
Ishan Verma ◽  
Lipika Dey
Keyword(s):  
Biomedical Journal ◽  
Journal Articles

scholarly journals Role of supplementary material in biomedical journal articles: surveys of authors, reviewers and readers

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e021753 ◽  
Author(s):  
Amy Price ◽  
Sara Schroter ◽  
Mike Clarke ◽  
Helen McAneney
Keyword(s):  
Study Data ◽  
Biomedical Journal ◽  
Journal Articles ◽  
Journal Editors ◽  
Registration Number ◽  
Peer Reviewers ◽  
Publishing Group ◽  
Supplementary Material ◽  
Data Tables

ObjectiveMany journals permit authors to submit supplementary material for publication alongside the article. We explore the value, use and role of this material in biomedical journal articles from the perspectives of authors, peer reviewers and readers.Design and settingWe conducted online surveys (November–December 2016) of corresponding authors and peer reviewers at 17 BMJ Publishing Group journals in a range of specialities.ParticipantsParticipants were asked to respond to one of three surveys: as authors, peer reviewers or readers.ResultsWe received 2872/20340 (14%) responses: authors 819/6892 (12%), peer reviewers 1142/6682 (17%) and readers 911/6766 (14%). Most authors submitted (711/819, 87%) and 80% (724/911) of readers reported reading supplementary material with their last article, while 95% (1086/1142) of reviewers reported seeing these materials sometimes. Additional data tables were the most common supplementary material reported (authors: 74%; reviewers: 89%; readers: 67%). A majority in each group indicated additional tables were most useful to readers (61%–77%); 20%–36% and 3%–4% indicated they were most useful to peer reviewers and journal editors, respectively. Checklists and reporting guidelines showed the opposite: higher proportions of each group regarded these as most useful to journal editors. All three groups favoured the publication of additional tables and figures on the journal’s website (80%–83%), with <4% of each group responding that these do not need to be available. Approximately one-fifth (16%–23%) responded that raw study data should be available on the journal’s website, while 24%–33% said that these materials should not be made available anywhere.ConclusionsAuthors, peer reviewers and readers agree that supplementary materials are useful. Supplementary tables and figures were favoured over reporting checklists or raw data for reading but not for study replication. Journals should consider the roles, resource costs and strategic placement of supplementary materials to ensure optimal usage and minimise waste.Trial registration numberNCT02961036.

scholarly journals Uprooting race-based assumptions in biomedical journal articles

2021 ◽  
Author(s):  
Angela Aifah ◽  
Deborah Onakomaiya ◽  
Ashlin Rakhra ◽  
Gbenga Ogedegbe
Keyword(s):  
Biomedical Journal ◽  
Journal Articles

scholarly journals Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
K. Bretonnel Cohen ◽  
Arrick Lanfranchi ◽  
Miji Joo-young Choi ◽  
Michael Bada ◽  
William A. Baumgartner ◽  
...  
Keyword(s):  
Full Text ◽  
Biomedical Journal ◽  
Journal Articles

scholarly journals ECO-CollecTF: A Corpus of Annotated Evidence-Based Assertions in Biomedical Manuscripts

2021 ◽  
Vol 6 ◽  
Author(s):  
Elizabeth T. Hobbs ◽  
Stephen M. Goralski ◽  
Ashley Mitchell ◽  
Andrew Simpson ◽  
Dorjan Leka ◽  
...  
Keyword(s):  
Text Mining ◽  
Evidence Based ◽  
Gene Products ◽  
Biomedical Journal ◽  
Journal Articles ◽  
High Quality Evidence ◽  
Accurate Performance ◽  
Biological Entities ◽  
High Throughput Experiments ◽  
Mining Tools

Analysis of high-throughput experiments in the life sciences frequently relies upon standardized information about genes, gene products, and other biological entities. To provide this information, expert curators are increasingly relying on text mining tools to identify, extract and harmonize statements from biomedical journal articles that discuss findings of interest. For determining reliability of the statements, curators need the evidence used by the authors to support their assertions. It is important to annotate the evidence directly used by authors to qualify their findings rather than simply annotating mentions of experimental methods without the context of what findings they support. Text mining tools require tuning and adaptation to achieve accurate performance. Many annotated corpora exist to enable developing and tuning text mining tools; however, none currently provides annotations of evidence based on the extensive and widely used Evidence and Conclusion Ontology. We present the ECO-CollecTF corpus, a novel, freely available, biomedical corpus of 84 documents that captures high-quality, evidence-based statements annotated with the Evidence and Conclusion Ontology.

International Research and Variation in Views of Ethnicity

2012 ◽  
Vol 2 (2) ◽  
pp. 66-72
Author(s):  
Ella Inglebret ◽  
Amy Skinder-Meredith ◽  
Shana Bailey ◽  
Carla Jones ◽  
Ashley France
Keyword(s):  
United States ◽  
Classification System ◽  
International Research ◽  
The United States ◽  
Research Articles ◽  
Journal Articles ◽  
Research Participants ◽  
The Past ◽  
International Scale ◽  
Publication Patterns

The authors in this article first identify the extent to which research articles published in three American Speech-Language-Hearing Association (ASHA) journals included participants, age birth to 18 years, from international backgrounds (i.e., residence outside of the United States), and go on to describe associated publication patterns over the past 12 years. These patterns then provide a context for examining variation in the conceptualization of ethnicity on an international scale. Further, the authors examine terminology and categories used by 11 countries where research participants resided. Each country uses a unique classification system. Thus, it can be expected that descriptions of the ethnic characteristics of international participants involved in research published in ASHA journal articles will widely vary.

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