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Meta-analysis of predictive models to assess the clinical validity and utility for patient-centered medical decision making: application to the CAncer of the Prostate Risk Assessment (CAPRA)

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2019
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About this Attention Score

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

Mentioned by

policy
1 policy source

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Meta-analysis of predictive models to assess the clinical validity and utility for patient-centered medical decision making: application to the CAncer of the Prostate Risk Assessment (CAPRA)
Published in
BMC Medical Informatics and Decision Making, January 2019
DOI 10.1186/s12911-018-0727-2
Pubmed ID
Authors

Marine Lorent, Haïfa Maalmi, Philippe Tessier, Stéphane Supiot, Etienne Dantan, Yohann Foucher

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Bachelor 6 15%
Student > Master 5 13%
Student > Doctoral Student 4 10%
Other 3 8%
Other 7 18%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 15 38%
Computer Science 3 8%
Engineering 3 8%
Business, Management and Accounting 2 5%
Immunology and Microbiology 1 3%
Other 4 10%
Unknown 12 30%
Attention Score in Context

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 31 October 2019.
All research outputs
#8,029,539
of 24,138,997 outputs
Outputs from BMC Medical Informatics and Decision Making
#805
of 2,061 outputs
Outputs of similar age
#160,665
of 444,475 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#23
of 51 outputs
Altmetric has tracked 24,138,997 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 2,061 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 57% 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 444,475 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 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.