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Structural diversity of biologically interesting datasets: a scaffold analysis approach

Overview of attention for article published in Journal of Cheminformatics, August 2011
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
69 Mendeley
citeulike
4 CiteULike
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Title
Structural diversity of biologically interesting datasets: a scaffold analysis approach
Published in
Journal of Cheminformatics, August 2011
DOI 10.1186/1758-2946-3-30
Pubmed ID
Authors

Varun Khanna, Shoba Ranganathan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 2 3%
Italy 1 1%
Portugal 1 1%
Russia 1 1%
United Kingdom 1 1%
Unknown 61 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 30%
Student > Ph. D. Student 13 19%
Student > Master 9 13%
Student > Bachelor 5 7%
Other 5 7%
Other 9 13%
Unknown 7 10%
Readers by discipline Count As %
Chemistry 25 36%
Agricultural and Biological Sciences 21 30%
Biochemistry, Genetics and Molecular Biology 4 6%
Computer Science 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 5 7%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 October 2011.
All research outputs
#3,777,424
of 23,292,144 outputs
Outputs from Journal of Cheminformatics
#373
of 862 outputs
Outputs of similar age
#19,792
of 121,737 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 12 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 56% 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 121,737 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 83% of its contemporaries.
We're also able to compare this research output to 12 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 50% of its contemporaries.