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Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsy

Overview of attention for article published in BMC Urology, May 2021
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About this Attention Score

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

Mentioned by

twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsy
Published in
BMC Urology, May 2021
DOI 10.1186/s12894-021-00849-w
Pubmed ID
Authors

Shuanbao Yu, Jin Tao, Biao Dong, Yafeng Fan, Haopeng Du, Haotian Deng, Jinshan Cui, Guodong Hong, Xuepei Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 8%
Student > Master 1 4%
Other 1 4%
Student > Bachelor 1 4%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 17 68%
Readers by discipline Count As %
Engineering 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Economics, Econometrics and Finance 1 4%
Other 3 12%
Unknown 16 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 May 2021.
All research outputs
#15,154,377
of 23,308,124 outputs
Outputs from BMC Urology
#376
of 765 outputs
Outputs of similar age
#243,871
of 442,729 outputs
Outputs of similar age from BMC Urology
#10
of 22 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 765 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% 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 442,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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.