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Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk tools

Overview of attention for article published in BMC Medical Research Methodology, October 2019
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1 X user

Citations

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46 Mendeley
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Title
Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk tools
Published in
BMC Medical Research Methodology, October 2019
DOI 10.1186/s12874-019-0839-0
Pubmed ID
Authors

Johanna Tolksdorf, Michael W. Kattan, Stephen A. Boorjian, Stephen J. Freedland, Karim Saba, Cedric Poyet, Lourdes Guerrios, Amanda De Hoedt, Michael A. Liss, Robin J. Leach, Javier Hernandez, Emily Vertosick, Andrew J. Vickers, Donna P. Ankerst

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X Demographics

The data shown below were collected from the profile of 1 X user 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Bachelor 6 13%
Student > Master 5 11%
Unspecified 4 9%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 13 28%
Engineering 5 11%
Unspecified 4 9%
Social Sciences 2 4%
Nursing and Health Professions 1 2%
Other 5 11%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 October 2019.
All research outputs
#20,583,973
of 23,168,000 outputs
Outputs from BMC Medical Research Methodology
#1,906
of 2,044 outputs
Outputs of similar age
#300,370
of 354,164 outputs
Outputs of similar age from BMC Medical Research Methodology
#23
of 27 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,044 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% 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 354,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.