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Use of electronic health record data to identify skin and soft tissue infections in primary care settings: a validation study

Overview of attention for article published in BMC Infectious Diseases, April 2013
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3 X users

Citations

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26 Dimensions

Readers on

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38 Mendeley
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Title
Use of electronic health record data to identify skin and soft tissue infections in primary care settings: a validation study
Published in
BMC Infectious Diseases, April 2013
DOI 10.1186/1471-2334-13-171
Pubmed ID
Authors

Pamela J Levine, Miriam R Elman, Ravina Kullar, John M Townes, David T Bearden, Rowena Vilches-Tran, Ian McClellan, Jessina C McGregor

Abstract

Epidemiologic studies of skin and soft tissue infections (SSTIs) depend upon accurate case identification. Our objective was to evaluate the positive predictive value (PPV) of electronic medical record data for identification of SSTIs in a primary care setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Canada 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 8 21%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Other 6 16%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 20 53%
Nursing and Health Professions 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Other 4 11%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 April 2013.
All research outputs
#13,886,991
of 22,705,019 outputs
Outputs from BMC Infectious Diseases
#3,524
of 7,649 outputs
Outputs of similar age
#111,108
of 199,476 outputs
Outputs of similar age from BMC Infectious Diseases
#71
of 142 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,649 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 51% 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 199,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.