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Multifaceted protein–protein interaction prediction based on Siamese residual RCNN

Overview of attention for article published in Bioinformatics, July 2019
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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 (52nd percentile)

Mentioned by

twitter
6 X users
reddit
1 Redditor

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
150 Mendeley
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Title
Multifaceted protein–protein interaction prediction based on Siamese residual RCNN
Published in
Bioinformatics, July 2019
DOI 10.1093/bioinformatics/btz328
Pubmed ID
Authors

Muhao Chen, Chelsea J -T Ju, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Researcher 19 13%
Student > Bachelor 12 8%
Student > Master 10 7%
Student > Doctoral Student 7 5%
Other 13 9%
Unknown 60 40%
Readers by discipline Count As %
Computer Science 30 20%
Biochemistry, Genetics and Molecular Biology 24 16%
Agricultural and Biological Sciences 9 6%
Chemistry 5 3%
Engineering 5 3%
Other 10 7%
Unknown 67 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 December 2023.
All research outputs
#6,386,156
of 25,078,088 outputs
Outputs from Bioinformatics
#5,166
of 12,314 outputs
Outputs of similar age
#104,821
of 353,945 outputs
Outputs of similar age from Bioinformatics
#146
of 312 outputs
Altmetric has tracked 25,078,088 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 12,314 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 57% 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 353,945 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 312 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 52% of its contemporaries.