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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Rare Diseases hand-annotated news articles: Angelman, De Lange, Fragile X, Kleefstra

Authors: Zdolsek Draksler, Tanja; Pita Costa, Joao;

Rare Diseases hand-annotated news articles: Angelman, De Lange, Fragile X, Kleefstra

Abstract

This dataset was produced in 2023 from the data collected throughout 2023 from Event Registry (news) for the development of the Rare Diseases Mining project (https://idefine-europe.org/medline) The data is distributed across 4 specific diseases supporting the research paper "Automatic text classification and interactive data visualization of published scientific and news articles on Rare Diseases" The available data comes in the file formats:CSV - the hand annotation of the news articles in TXT with 5 to 10 MeSH headings This work was prepared by Joao Pita Costa (researcher) and curated by Tanja Zdolšek Draksler (domain expert)

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average