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Detection of statin-induced rhabdomyolysis and muscular related adverse events through data mining technique

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Detection of statin-induced rhabdomyolysis and muscular related adverse events through data mining technique
Published in
BMC Medical Informatics and Decision Making, September 2022
DOI 10.1186/s12911-022-01978-4
Pubmed ID
Authors

Patratorn Kunakorntham, Oraluck Pattanaprateep, Charungthai Dejthevaporn, Ratchainant Thammasudjarit, Ammarin Thakkinstian

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 40%
Professor 1 7%
Librarian 1 7%
Student > Bachelor 1 7%
Unknown 6 40%
Readers by discipline Count As %
Unspecified 6 40%
Computer Science 1 7%
Physics and Astronomy 1 7%
Unknown 7 47%
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 22 September 2022.
All research outputs
#15,745,721
of 23,390,392 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,340
of 2,022 outputs
Outputs of similar age
#238,211
of 435,735 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 56 outputs
Altmetric has tracked 23,390,392 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 24th percentile – i.e., 24% 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 435,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.