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Literature information in PubChem: associations between PubChem records and scientific articles

Overview of attention for article published in Journal of Cheminformatics, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

3 blogs
10 tweeters
1 Google+ user


28 Dimensions

Readers on

87 Mendeley
1 CiteULike
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Literature information in PubChem: associations between PubChem records and scientific articles
Published in
Journal of Cheminformatics, June 2016
DOI 10.1186/s13321-016-0142-6
Pubmed ID

Sunghwan Kim, Paul A. Thiessen, Tiejun Cheng, Bo Yu, Benjamin A. Shoemaker, Jiyao Wang, Evan E. Bolton, Yanli Wang, Stephen H. Bryant


PubChem is an open archive consisting of a set of three primary public databases (BioAssay, Compound, and Substance). It contains information on a broad range of chemical entities, including small molecules, lipids, carbohydrates, and (chemically modified) amino acid and nucleic acid sequences (including siRNA and miRNA). Currently (as of Nov. 2015), PubChem contains more than 150 million depositor-provided chemical substance descriptions, 60 million unique chemical structures, and 225 million biological activity test results provided from over 1 million biological assay records. Many PubChem records (substances, compounds, and assays) include depositor-provided cross-references to scientific articles in PubMed. Some PubChem contributors provide bioactivity data extracted from scientific articles. Literature-derived bioactivity data complement high-throughput screening (HTS) data from the concluded NIH Molecular Libraries Program and other HTS projects. Some journals provide PubChem with information on chemicals that appear in their newly published articles, enabling concurrent publication of scientific articles in journals and associated data in public databases. In addition, PubChem links records to PubMed articles indexed with the Medical Subject Heading (MeSH) controlled vocabulary thesaurus. Literature information, both provided by depositors and derived from MeSH annotations, can be accessed using PubChem's web interfaces, enabling users to explore information available in literature related to PubChem records beyond typical web search results. Graphical abstractLiterature information for PubChem records is derived from various sources.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Brazil 2 2%
India 1 1%
Unknown 82 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 30%
Student > Master 9 10%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 7 8%
Researcher 6 7%
Other 11 13%
Unknown 19 22%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 26 30%
Biochemistry, Genetics and Molecular Biology 12 14%
Chemistry 10 11%
Agricultural and Biological Sciences 9 10%
Medicine and Dentistry 3 3%
Other 7 8%
Unknown 20 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2020.
All research outputs
of 17,805,015 outputs
Outputs from Journal of Cheminformatics
of 685 outputs
Outputs of similar age
of 273,624 outputs
Outputs of similar age from Journal of Cheminformatics
of 1 outputs
Altmetric has tracked 17,805,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them