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Misclassification of incident conditions using claims data: impact of varying the period used to exclude pre-existing disease

Overview of attention for article published in BMC Medical Research Methodology, March 2013
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1 X user

Citations

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37 Dimensions

Readers on

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42 Mendeley
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Title
Misclassification of incident conditions using claims data: impact of varying the period used to exclude pre-existing disease
Published in
BMC Medical Research Methodology, March 2013
DOI 10.1186/1471-2288-13-32
Pubmed ID
Authors

Robert I Griffiths, Cynthia D O’Malley, Robert J Herbert, Mark D Danese

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

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Bachelor 5 12%
Student > Master 5 12%
Other 4 10%
Student > Postgraduate 4 10%
Other 6 14%
Unknown 11 26%
Readers by discipline Count As %
Medicine and Dentistry 20 48%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Linguistics 1 2%
Mathematics 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 16 38%
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 15 June 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from BMC Medical Research Methodology
#1,545
of 2,056 outputs
Outputs of similar age
#124,231
of 196,349 outputs
Outputs of similar age from BMC Medical Research Methodology
#24
of 32 outputs
Altmetric has tracked 23,308,124 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 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 16th percentile – i.e., 16% 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 196,349 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.