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Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis

Overview of attention for article published in Journal of Cheminformatics, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Improved algorithms for quantifying the near symmetry of proteins: complete side chains analysis
Published in
Journal of Cheminformatics, June 2019
DOI 10.1186/s13321-019-0360-9
Authors

Inbal Tuvi-Arad, Gil Alon

Twitter Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Student > Master 2 20%
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Chemistry 4 40%
Physics and Astronomy 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Engineering 1 10%
Unknown 3 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2019.
All research outputs
#8,435,179
of 15,329,228 outputs
Outputs from Journal of Cheminformatics
#451
of 613 outputs
Outputs of similar age
#123,462
of 266,489 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 1 outputs
Altmetric has tracked 15,329,228 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 613 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 23rd percentile – i.e., 23% 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 266,489 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 51% 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