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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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 . 2022
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 . 2022
License: CC BY
Data sources: Datacite
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Dataset related to the manuscript: "An open-source integrated framework for the automation of citation collection and screening in systematic reviews"

Authors: Angelo, D'Ambrosio;

Dataset related to the manuscript: "An open-source integrated framework for the automation of citation collection and screening in systematic reviews"

Abstract

Dataset related to the manuscript: ���An open-source integrated framework for the automation of citation collection and screening in systematic reviews���, to be used together with the code stored at https://github.com/AD-Papers-Material/BART_SystReviewClassifier to reproduce the results. There are three datasets: - The Record data collected from the online scientific databases; - The session journal which describes the search session, i.e., how many records were collected and from which source, for each query/session pairs. - The session data which is the outcome of the classification and review tasks;

{"references": ["D'Ambrosio, A., Grundmann, H., & Donker, T. (2022). An open-source integrated framework for the automation of citation collection and screening in systematic reviews. arXiv preprint arXiv:2202.10033."]}

This project was developed under the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) through the 7th call, project number 01KI1831 funded by BMBF and administrated by DLR Project Management Agency.

Related Organizations
Keywords

Citation management, Online data collection, Natural language processing, Active machine learning, Bayesian modeling, Systematic review automation

  • BIP!
    Impact byBIP!
    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).
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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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
4
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