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Estimating medication adherence from Electronic Health Records: comparing methods for mining and processing asthma treatment prescriptions

Overview of attention for article published in BMC Medical Research Methodology, July 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
7 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Estimating medication adherence from Electronic Health Records: comparing methods for mining and processing asthma treatment prescriptions
Published in
BMC Medical Research Methodology, July 2023
DOI 10.1186/s12874-023-01935-3
Authors

Holly Tibble, Aziz Sheikh, Athanasios Tsanas

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 29%
Researcher 2 29%
Student > Ph. D. Student 2 29%
Student > Master 1 14%
Readers by discipline Count As %
Unspecified 2 29%
Pharmacology, Toxicology and Pharmaceutical Science 2 29%
Nursing and Health Professions 1 14%
Computer Science 1 14%
Engineering 1 14%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 December 2023.
All research outputs
#1,208,125
of 24,396,012 outputs
Outputs from BMC Medical Research Methodology
#134
of 2,169 outputs
Outputs of similar age
#20,785
of 335,398 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 41 outputs
Altmetric has tracked 24,396,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 93% 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 335,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.