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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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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
37 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Postgraduate 5 14%
Student > Master 5 14%
Other 4 11%
Student > Doctoral Student 3 8%
Other 6 16%
Unknown 8 22%
Readers by discipline Count As %
Medicine and Dentistry 18 49%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Unspecified 1 3%
Linguistics 1 3%
Mathematics 1 3%
Other 2 5%
Unknown 12 32%

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
#14,330,095
of 21,347,791 outputs
Outputs from BMC Medical Research Methodology
#1,426
of 1,901 outputs
Outputs of similar age
#203,083
of 344,974 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 21,347,791 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 1,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 344,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them