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Detecting Adverse Drug Events with Rapidly Trained Classification Models

Overview of attention for article published in Drug Safety, January 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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56 Dimensions

Readers on

mendeley
110 Mendeley
Title
Detecting Adverse Drug Events with Rapidly Trained Classification Models
Published in
Drug Safety, January 2019
DOI 10.1007/s40264-018-0763-y
Pubmed ID
Authors

Alec B. Chapman, Kelly S. Peterson, Patrick R. Alba, Scott L. DuVall, Olga V. Patterson

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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 15%
Student > Master 16 15%
Student > Doctoral Student 7 6%
Other 5 5%
Student > Ph. D. Student 5 5%
Other 12 11%
Unknown 48 44%
Readers by discipline Count As %
Computer Science 23 21%
Medicine and Dentistry 9 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Business, Management and Accounting 3 3%
Other 14 13%
Unknown 52 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2019.
All research outputs
#15,958,140
of 24,287,697 outputs
Outputs from Drug Safety
#1,443
of 1,761 outputs
Outputs of similar age
#261,266
of 445,811 outputs
Outputs of similar age from Drug Safety
#22
of 29 outputs
Altmetric has tracked 24,287,697 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,761 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 16th percentile – i.e., 16% 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 445,811 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.