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Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric Population

Overview of attention for article published in Drug Safety, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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10 X users

Citations

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43 Dimensions

Readers on

mendeley
141 Mendeley
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2 CiteULike
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Title
Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric Population
Published in
Drug Safety, March 2014
DOI 10.1007/s40264-014-0145-z
Pubmed ID
Authors

Robert Eriksson, Thomas Werge, Lars Juhl Jensen, Søren Brunak

Abstract

Data collected for medical, filing and administrative purposes in electronic patient records (EPRs) represent a rich source of individualised clinical data, which has great potential for improved detection of patients experiencing adverse drug reactions (ADRs), across all approved drugs and across all indication areas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 3 2%
United States 2 1%
United Kingdom 2 1%
Netherlands 1 <1%
Chile 1 <1%
Malaysia 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 127 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 16%
Student > Ph. D. Student 20 14%
Student > Master 19 13%
Student > Bachelor 14 10%
Other 9 6%
Other 34 24%
Unknown 23 16%
Readers by discipline Count As %
Medicine and Dentistry 39 28%
Computer Science 22 16%
Agricultural and Biological Sciences 13 9%
Pharmacology, Toxicology and Pharmaceutical Science 11 8%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 21 15%
Unknown 29 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 05 October 2017.
All research outputs
#4,869,680
of 24,143,470 outputs
Outputs from Drug Safety
#509
of 1,755 outputs
Outputs of similar age
#45,814
of 225,542 outputs
Outputs of similar age from Drug Safety
#7
of 19 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,755 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 70% 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 225,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.