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Risk Prediction Models in Perioperative Medicine: Methodological Considerations

Overview of attention for article published in Current Anesthesiology Reports, September 2016
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2 X users

Citations

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12 Mendeley
Title
Risk Prediction Models in Perioperative Medicine: Methodological Considerations
Published in
Current Anesthesiology Reports, September 2016
DOI 10.1007/s40140-016-0171-8
Authors

Gary S. Collins, Jie Ma, Stephen Gerry, Eric Ohuma, Lang’O Odondi, Marialena Trivella, Jennifer De Beyer, Maria D. L. A. Vazquez-Montes

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 2 17%
Student > Master 2 17%
Student > Doctoral Student 1 8%
Unspecified 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 6 50%
Mathematics 2 17%
Unspecified 1 8%
Sports and Recreations 1 8%
Design 1 8%
Other 0 0%
Unknown 1 8%
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 08 July 2016.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Current Anesthesiology Reports
#133
of 208 outputs
Outputs of similar age
#228,239
of 348,369 outputs
Outputs of similar age from Current Anesthesiology Reports
#2
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 26th percentile – i.e., 26% 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 348,369 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.