KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics

Overview of attention for article published in BMC Systems Biology, December 2013

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Above-average Attention Score compared to outputs of the same age (57th percentile)
Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter: 5 tweeters

Citations

dimensions_citation: 26 Dimensions

Readers on

mendeley: 42 Mendeley
citeulike: 1 CiteULike

Summary Twitter Dimensions citations

So far, Altmetric has seen 6 tweets from 5 users, with an upper bound of 10,877 followers.

RT @rkakamilan: 漢方の新たな適応　化合物特徴量-> KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical b…

27 Oct 2018

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RT @rkakamilan: 漢方の新たな適応　化合物特徴量-> KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical b…

27 Oct 2018

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RT @rkakamilan: 漢方の新たな適応　化合物特徴量-> KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical b…

27 Oct 2018

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漢方の新たな適応　化合物特徴量-> KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics https://t.co/HWmWXGWUQ4 #kumainfo

27 Oct 2018

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This page shows the most recent tweets that mention this research output.

Click here to find out how to access more activity, including 2 additional tweets.