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2D SIFt: a matrix of ligand-receptor interactions

Overview of attention for article published in Journal of Cheminformatics, September 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
11 X users

Readers on

mendeley
17 Mendeley
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Title
2D SIFt: a matrix of ligand-receptor interactions
Published in
Journal of Cheminformatics, September 2021
DOI 10.1186/s13321-021-00545-9
Pubmed ID
Authors

Stefan Mordalski, Agnieszka Wojtuch, Igor Podolak, Rafał Kurczab, Andrzej J. Bojarski

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 47%
Other 2 12%
Student > Ph. D. Student 1 6%
Librarian 1 6%
Unknown 5 29%
Readers by discipline Count As %
Chemistry 5 29%
Biochemistry, Genetics and Molecular Biology 3 18%
Pharmacology, Toxicology and Pharmaceutical Science 2 12%
Social Sciences 1 6%
Computer Science 1 6%
Other 0 0%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 September 2021.
All research outputs
#6,584,877
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#513
of 934 outputs
Outputs of similar age
#123,152
of 422,763 outputs
Outputs of similar age from Journal of Cheminformatics
#14
of 28 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 422,763 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 28 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 53% of its contemporaries.