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A sui generis QA approach using RoBERTa for adverse drug event identification

Overview of attention for article published in BMC Bioinformatics, October 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
9 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
14 Mendeley
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Title
A sui generis QA approach using RoBERTa for adverse drug event identification
Published in
BMC Bioinformatics, October 2021
DOI 10.1186/s12859-021-04249-7
Pubmed ID
Authors

Harshit Jain, Nishant Raj, Suyash Mishra

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 14%
Student > Bachelor 1 7%
Unspecified 1 7%
Unknown 10 71%
Readers by discipline Count As %
Unspecified 1 7%
Nursing and Health Professions 1 7%
Computer Science 1 7%
Psychology 1 7%
Unknown 10 71%
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 24 October 2021.
All research outputs
#8,268,461
of 25,387,668 outputs
Outputs from BMC Bioinformatics
#3,060
of 7,693 outputs
Outputs of similar age
#158,401
of 441,766 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 171 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,693 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 58% 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 441,766 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 63% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.