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PUG-View: programmatic access to chemical annotations integrated in PubChem

Overview of attention for article published in Journal of Cheminformatics, August 2019
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
46 Mendeley
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Title
PUG-View: programmatic access to chemical annotations integrated in PubChem
Published in
Journal of Cheminformatics, August 2019
DOI 10.1186/s13321-019-0375-2
Pubmed ID
Authors

Sunghwan Kim, Paul A. Thiessen, Tiejun Cheng, Jian Zhang, Asta Gindulyte, Evan E. Bolton

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 8 17%
Student > Bachelor 4 9%
Professor 2 4%
Student > Master 2 4%
Other 2 4%
Unknown 17 37%
Readers by discipline Count As %
Chemistry 9 20%
Biochemistry, Genetics and Molecular Biology 5 11%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Computer Science 2 4%
Other 4 9%
Unknown 21 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 04 January 2024.
All research outputs
#2,253,420
of 25,634,695 outputs
Outputs from Journal of Cheminformatics
#184
of 979 outputs
Outputs of similar age
#45,319
of 357,346 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 16 outputs
Altmetric has tracked 25,634,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 979 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 81% 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 357,346 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.