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ZENODO
Dataset . 2020
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 . 2020
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 . 2020
License: CC BY
Data sources: ZENODO
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Supplemental data

Authors: Cusack, Siobhan A.; Wang, Peipei; Moore, Bethany M.; Meng, Fanrui; Conner, Jeffrey K.; Krysan, Patrick J.; Lehti-Shiu, Melissa D.; +1 Authors

Supplemental data

Abstract

Datasets for machine learning as described in "Genome-wide predictions of genetic redundancy in Arabidopsis thaliana" (https://doi.org/10.1101/2020.08.13.250225): Dataset_1.txt: Training set only, RD4 Dataset_2.txt: Training set only, RD9 Dataset_3.txt: Training set = RD4, testing set = whole genome and tandem duplicates (WG/TD set) + RD9 pairs not included in RD4 Dataset_4.txt: Training set = RD4, testing set = kinases (Kin set) + RD9 pairs not included in RD4

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