↓ Skip to main content

Risk Prediction Models in Perioperative Medicine: Methodological Considerations

Overview of attention for article published in Current Anesthesiology Reports, July 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
Title
Risk Prediction Models in Perioperative Medicine: Methodological Considerations
Published in
Current Anesthesiology Reports, July 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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Researcher 2 25%
Student > Doctoral Student 1 13%
Unspecified 1 13%
Readers by discipline Count As %
Medicine and Dentistry 4 50%
Mathematics 2 25%
Unspecified 1 13%
Design 1 13%

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 08 July 2016.
All research outputs
#3,759,014
of 8,029,085 outputs
Outputs from Current Anesthesiology Reports
#25
of 89 outputs
Outputs of similar age
#118,534
of 259,565 outputs
Outputs of similar age from Current Anesthesiology Reports
#2
of 4 outputs
Altmetric has tracked 8,029,085 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 89 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 70% 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 259,565 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 51% of its contemporaries.
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.