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Against quantiles: categorization of continuous variables in epidemiologic research, and its discontents

Overview of attention for article published in BMC Medical Research Methodology, February 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 2,310)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
174 X users

Citations

dimensions_citation
298 Dimensions

Readers on

mendeley
357 Mendeley
citeulike
5 CiteULike
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Title
Against quantiles: categorization of continuous variables in epidemiologic research, and its discontents
Published in
BMC Medical Research Methodology, February 2012
DOI 10.1186/1471-2288-12-21
Pubmed ID
Authors

Caroline Bennette, Andrew Vickers

X Demographics

X Demographics

The data shown below were collected from the profiles of 174 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 357 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
United States 1 <1%
Germany 1 <1%
Unknown 351 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 71 20%
Student > Ph. D. Student 65 18%
Student > Master 49 14%
Student > Bachelor 23 6%
Other 19 5%
Other 64 18%
Unknown 66 18%
Readers by discipline Count As %
Medicine and Dentistry 96 27%
Agricultural and Biological Sciences 24 7%
Nursing and Health Professions 23 6%
Social Sciences 20 6%
Mathematics 14 4%
Other 83 23%
Unknown 97 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 105. 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 20 September 2023.
All research outputs
#406,552
of 25,703,943 outputs
Outputs from BMC Medical Research Methodology
#31
of 2,310 outputs
Outputs of similar age
#1,749
of 168,683 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 34 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 98% 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 168,683 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 98% of its contemporaries.
We're also able to compare this research output to 34 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 97% of its contemporaries.