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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Leveraging LLMs for Efficient Topic Reviews

Research datakeyboard_double_arrow_right Dataset 20 Aug 2024Embargo end date: 13 Feb 2024 English Publisher:Zenodo
Authors: Gana Castillo, Bady Patricio;

doi: 10.5281/zenodo.13346400 , 10.5281/zenodo.13346401

Leveraging LLMs for Efficient Topic Reviews

Abstract

Our experiment started with the formulation of a specific research topic. From this topic, we designed a precise query to extract relevant papers from the Scopus database. The query was carefully constructed using a combination of keywords related to the literature review and automation. Scopus Query Statement Q1: ( literature AND review OR slr OR overview OR survey OR insights OR screening) AND ( semi-automated OR semi-automation OR automation ) OR ( machine ANDlearning OR deep AND learning )

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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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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