Converging Interests: Chemoinformatics, History, and Bibliometrics

Wenxi Zhao; Kmitriy Korobskiy; Shreya Chandrasekharan; Kenneth Merz; George Chacko

doi:10.1021/acs.jcim.0c01098

Converging Interests: Chemoinformatics, History, and Bibliometrics

Wenxi Zhao, Kmitriy Korobskiy, Shreya Chandrasekharan, Kenneth Merz, George Chacko

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Research output: Contribution to journal › Article › peer-review

Abstract

Modern scientometric techniques, applied at scale, can provide valuable information that complements qualitative investigation of the accumulation of knowledge in a field. We discuss a trio of articles from computational chemistry selected from an analysis of 181 million tri-cited articles.

Original language	American English
Journal	Journal of Chemical Information and Modeling
DOIs	https://doi.org/10.1021/acs.jcim.0c01098
State	Published - 2020

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10.1021/acs.jcim.0c01098

Enhanced Research Network Informatics Environment (ERNIE)
Falk-Krzesinski, H. (PI), Chacko, G. (PI) & Aisati, M. (PI)
02/2/19 → 12/12/20
Project: Research

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title = "Converging Interests: Chemoinformatics, History, and Bibliometrics",

abstract = "Modern scientometric techniques, applied at scale, can provide valuable information that complements qualitative investigation of the accumulation of knowledge in a field. We discuss a trio of articles from computational chemistry selected from an analysis of 181 million tri-cited articles.",

author = "Wenxi Zhao and Kmitriy Korobskiy and Shreya Chandrasekharan and Kenneth Merz and George Chacko",

year = "2020",

doi = "10.1021/acs.jcim.0c01098",

language = "American English",

journal = "Journal of Chemical Information and Modeling",

issn = "1549-9596",

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AU - Zhao, Wenxi

AU - Korobskiy, Kmitriy

AU - Chandrasekharan, Shreya

AU - Merz, Kenneth

AU - Chacko, George

PY - 2020

Y1 - 2020

N2 - Modern scientometric techniques, applied at scale, can provide valuable information that complements qualitative investigation of the accumulation of knowledge in a field. We discuss a trio of articles from computational chemistry selected from an analysis of 181 million tri-cited articles.

AB - Modern scientometric techniques, applied at scale, can provide valuable information that complements qualitative investigation of the accumulation of knowledge in a field. We discuss a trio of articles from computational chemistry selected from an analysis of 181 million tri-cited articles.

U2 - 10.1021/acs.jcim.0c01098

DO - 10.1021/acs.jcim.0c01098

M3 - Article

SN - 1549-9596

JO - Journal of Chemical Information and Modeling

JF - Journal of Chemical Information and Modeling

ER -

Converging Interests: Chemoinformatics, History, and Bibliometrics

Abstract

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Enhanced Research Network Informatics Environment (ERNIE)

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