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Clinical utility and cost modelling of the phi test to triage referrals into image-based diagnostic services for suspected prostate cancer: the PRIM (Phi to RefIne Mri) study

Overview of attention for article published in BMC Medicine, April 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

news
2 news outlets
twitter
17 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Clinical utility and cost modelling of the phi test to triage referrals into image-based diagnostic services for suspected prostate cancer: the PRIM (Phi to RefIne Mri) study
Published in
BMC Medicine, April 2020
DOI 10.1186/s12916-020-01548-3
Pubmed ID
Authors

Lois Kim, Nicholas Boxall, Anne George, Keith Burling, Pete Acher, Jonathan Aning, Stuart McCracken, Toby Page, Vincent J. Gnanapragasam

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Postgraduate 5 11%
Student > Bachelor 4 9%
Other 3 7%
Student > Ph. D. Student 3 7%
Other 6 14%
Unknown 15 34%
Readers by discipline Count As %
Medicine and Dentistry 17 39%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 2 5%
Psychology 2 5%
Unspecified 1 2%
Other 4 9%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 14 February 2022.
All research outputs
#1,339,309
of 25,142,442 outputs
Outputs from BMC Medicine
#941
of 3,939 outputs
Outputs of similar age
#34,020
of 379,400 outputs
Outputs of similar age from BMC Medicine
#31
of 92 outputs
Altmetric has tracked 25,142,442 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has done well, scoring higher than 76% 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 379,400 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 91% of its contemporaries.
We're also able to compare this research output to 92 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 67% of its contemporaries.