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ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces

Overview of attention for article published in BMC Bioinformatics, April 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Readers on

mendeley
16 Mendeley
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Title
ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces
Published in
BMC Bioinformatics, April 2020
DOI 10.1186/s12859-020-3474-1
Pubmed ID
Authors

Felippe C. Queiroz, Adriana M. P. Vargas, Maria G. A. Oliveira, Giovanni V. Comarela, Sabrina A. Silveira

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 3 19%
Professor 2 13%
Researcher 2 13%
Student > Bachelor 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Computer Science 6 38%
Biochemistry, Genetics and Molecular Biology 3 19%
Chemistry 2 13%
Social Sciences 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 3 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 March 2023.
All research outputs
#6,840,618
of 23,915,168 outputs
Outputs from BMC Bioinformatics
#2,553
of 7,486 outputs
Outputs of similar age
#133,250
of 377,968 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 121 outputs
Altmetric has tracked 23,915,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 377,968 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 64% of its contemporaries.
We're also able to compare this research output to 121 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 66% of its contemporaries.