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Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies

Overview of attention for article published in BMC Medical Research Methodology, September 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
1 CiteULike
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Title
Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies
Published in
BMC Medical Research Methodology, September 2017
DOI 10.1186/s12874-017-0417-2
Pubmed ID
Authors

Anne-Laure Boulesteix, Rory Wilson, Alexander Hapfelmeier

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Researcher 6 15%
Student > Master 6 15%
Student > Doctoral Student 4 10%
Student > Bachelor 3 7%
Other 6 15%
Unknown 7 17%
Readers by discipline Count As %
Mathematics 7 17%
Computer Science 5 12%
Biochemistry, Genetics and Molecular Biology 4 10%
Psychology 4 10%
Medicine and Dentistry 3 7%
Other 11 27%
Unknown 7 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 June 2022.
All research outputs
#7,204,197
of 22,103,655 outputs
Outputs from BMC Medical Research Methodology
#1,065
of 1,949 outputs
Outputs of similar age
#144,745
of 352,876 outputs
Outputs of similar age from BMC Medical Research Methodology
#130
of 196 outputs
Altmetric has tracked 22,103,655 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,949 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 42nd percentile – i.e., 42% 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 352,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.