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Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT

Overview of attention for article published in BMC Bioinformatics, January 2022
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Mentioned by

twitter
2 tweeters

Readers on

mendeley
13 Mendeley
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Title
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT
Published in
BMC Bioinformatics, January 2022
DOI 10.1186/s12859-021-04504-x
Pubmed ID
Authors

Aparna Elangovan, Yuan Li, Douglas E. V. Pires, Melissa J. Davis, Karin Verspoor

Twitter Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 31%
Researcher 2 15%
Student > Ph. D. Student 1 8%
Student > Postgraduate 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 5 38%
Unspecified 4 31%
Unknown 4 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 January 2022.
All research outputs
#16,639,218
of 20,678,629 outputs
Outputs from BMC Bioinformatics
#5,902
of 6,821 outputs
Outputs of similar age
#310,904
of 436,235 outputs
Outputs of similar age from BMC Bioinformatics
#529
of 535 outputs
Altmetric has tracked 20,678,629 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,821 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 6th percentile – i.e., 6% 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 436,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 535 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.