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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

  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Citations

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7 Dimensions

Readers on

mendeley
11 Mendeley
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
Pubmed ID
Authors

Inbal Tuvi-Arad, Gil Alon

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Professor > Associate Professor 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Chemistry 5 45%
Agricultural and Biological Sciences 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Physics and Astronomy 1 9%
Engineering 1 9%
Other 0 0%
Unknown 2 18%
Attention Score in Context

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
#14,857,229
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#721
of 934 outputs
Outputs of similar age
#183,074
of 358,434 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 18 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
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 20th percentile – i.e., 20% 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 358,434 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.