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Algorithmic approaches to protein-protein interaction site prediction

Overview of attention for article published in Algorithms for Molecular Biology, January 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 224)
  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
1 CiteULike
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Title
Algorithmic approaches to protein-protein interaction site prediction
Published in
Algorithms for Molecular Biology, January 2015
DOI 10.1186/s13015-015-0033-9
Pubmed ID
Authors

Tristan T Aumentado-Armstrong, Bogdan Istrate, Robert A Murgita

Twitter Demographics

The data shown below were collected from the profiles of 7 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
Slovenia 1 <1%
Qatar 1 <1%
Unknown 102 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 24%
Student > Ph. D. Student 18 17%
Student > Master 10 9%
Student > Bachelor 10 9%
Student > Postgraduate 8 8%
Other 26 25%
Unknown 9 8%
Readers by discipline Count As %
Computer Science 31 29%
Biochemistry, Genetics and Molecular Biology 28 26%
Agricultural and Biological Sciences 19 18%
Mathematics 3 3%
Chemistry 3 3%
Other 11 10%
Unknown 11 10%

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 22 October 2019.
All research outputs
#4,253,045
of 15,701,778 outputs
Outputs from Algorithms for Molecular Biology
#50
of 224 outputs
Outputs of similar age
#113,092
of 327,390 outputs
Outputs of similar age from Algorithms for Molecular Biology
#6
of 25 outputs
Altmetric has tracked 15,701,778 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 224 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 77% 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 327,390 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 65% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.