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Disease identification based on ambulatory drugs dispensation and in-hospital ICD-10 diagnoses: a comparison

Overview of attention for article published in BMC Health Services Research, October 2013
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Title
Disease identification based on ambulatory drugs dispensation and in-hospital ICD-10 diagnoses: a comparison
Published in
BMC Health Services Research, October 2013
DOI 10.1186/1472-6963-13-453
Pubmed ID
Authors

Patricia Halfon, Yves Eggli, Anne Decollogny, Erol Seker

Abstract

Pharmacy-based case mix measures are an alternative source of information to the relatively scarce outpatient diagnoses data. But most published tools use national drug nomenclatures and offer no head-to-head comparisons between drugs-related and diagnoses-based categories. The objective of the study was to test the accuracy of drugs-based morbidity groups derived from the World Health Organization Anatomical Therapeutic Chemical Classification of drugs by checking them against diagnoses-based groups.

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

Geographical breakdown

Country Count As %
Ireland 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 7 20%
Student > Master 5 14%
Other 4 11%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 8 23%
Readers by discipline Count As %
Medicine and Dentistry 7 20%
Computer Science 5 14%
Economics, Econometrics and Finance 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Agricultural and Biological Sciences 3 9%
Other 4 11%
Unknown 9 26%
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 09 December 2013.
All research outputs
#15,286,644
of 22,733,113 outputs
Outputs from BMC Health Services Research
#5,542
of 7,609 outputs
Outputs of similar age
#130,966
of 213,085 outputs
Outputs of similar age from BMC Health Services Research
#102
of 138 outputs
Altmetric has tracked 22,733,113 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 7,609 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 213,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.