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Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2019
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Mentioned by

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1 X user

Citations

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17 Dimensions

Readers on

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40 Mendeley
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Title
Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports
Published in
BMC Medical Informatics and Decision Making, December 2019
DOI 10.1186/s12911-019-0999-1
Pubmed ID
Authors

Ruoqi Liu, Ping Zhang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Researcher 5 13%
Student > Bachelor 3 8%
Unspecified 1 3%
Other 2 5%
Unknown 15 38%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 18%
Computer Science 5 13%
Nursing and Health Professions 3 8%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 10%
Unknown 17 43%
Attention Score in Context

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 19 December 2019.
All research outputs
#18,345,702
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,535
of 2,027 outputs
Outputs of similar age
#320,345
of 460,944 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#46
of 66 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,027 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 20th percentile – i.e., 20% 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 460,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 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.