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DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins

Overview of attention for article published in BMC Bioinformatics, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
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Title
DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-019-2677-9
Pubmed ID
Authors

Hongli Fu, Yingxi Yang, Xiaobo Wang, Hui Wang, Yan Xu

Twitter Demographics

The data shown below were collected from the profiles of 19 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 4 22%
Student > Bachelor 2 11%
Student > Master 2 11%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Computer Science 5 28%
Engineering 2 11%
Chemistry 1 6%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 4 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 March 2019.
All research outputs
#2,556,538
of 14,008,911 outputs
Outputs from BMC Bioinformatics
#1,129
of 5,219 outputs
Outputs of similar age
#73,591
of 260,982 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 60 outputs
Altmetric has tracked 14,008,911 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,219 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 78% 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 260,982 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 71% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.