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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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MIDAS hand-annotated news articles

Authors: Joao Pita Costa;

MIDAS hand-annotated news articles

Abstract

This dataset was produced in 2020 from the data collected throughout 2019 for the development of the MIDAS project (http://www.midasproject.eu/) The data is distributed throughout 5 topics: - EUS: Childhood Obesity (UC Basque Country) - FIN: Mental Health (UC Finland) - IRE: Diabetes (UC Ireland) - NIR: Children in Care (UC Northern Ireland) - INF: Infectious Diseases including Coronavirus (UC Influenzanet) The available data comes in 3 kinds and file formats: TXT - the source of news including ID, title and body of text CSV - the hand annotation of the news articles in TXT with 5 to 10 MeSH headings JSON - the input file for the evaluation of the classifier, including the title, news article body and MeSH heading IDs (available from https://www.ncbi.nlm.nih.gov/mesh/) The CSV files with name starting in "f1_", "pr_", "re_" are the results of the F1/Precision/Recall evaluation for each of the cases. ## AUTHORS Joao Pita Costa, Anthony Staines, Jarmo Pääkkönen, Jenni Konttila, Joseba Bidaurrazaga, Oihana Belar, Christine Henderson ## ACKNOWLEDGMENTS This work was supported by the European Commission H2020 project MIDAS (G.A. nr. 727721). ## LICENSE This dataset is licensed over Creative Commons.

This work was supported by the European Commission H2020 project MIDAS (G.A. nr. 727721).

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Keywords

MIDAS, MEDLINE, MeSH, Text Mining, News Mining, Health News, Mental Health, Diabetes, COVID-19

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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