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Validation of a model to investigate the effects of modifying cardiovascular disease (CVD) risk factors on the burden of CVD: the rotterdam ischemic heart disease and stroke computer simulation (RISC…

Overview of attention for article published in BMC Medicine, December 2012
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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
27 Mendeley
Title
Validation of a model to investigate the effects of modifying cardiovascular disease (CVD) risk factors on the burden of CVD: the rotterdam ischemic heart disease and stroke computer simulation (RISC) model
Published in
BMC Medicine, December 2012
DOI 10.1186/1741-7015-10-158
Pubmed ID
Authors

Bob JH van Kempen, Bart S Ferket, Albert Hofman, Ewout W Steyerberg, Ersen B Colkesen, S Matthijs Boekholdt, Nicholas J Wareham, Kay-Tee Khaw, MG Myriam Hunink

Abstract

We developed a Monte Carlo Markov model designed to investigate the effects of modifying cardiovascular disease (CVD) risk factors on the burden of CVD. Internal, predictive, and external validity of the model have not yet been established.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Ph. D. Student 4 15%
Student > Bachelor 4 15%
Professor > Associate Professor 3 11%
Student > Master 3 11%
Other 8 30%
Readers by discipline Count As %
Medicine and Dentistry 14 52%
Unspecified 6 22%
Computer Science 3 11%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Other 2 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 11 December 2012.
All research outputs
#1,305,607
of 12,517,134 outputs
Outputs from BMC Medicine
#1,024
of 2,010 outputs
Outputs of similar age
#28,671
of 256,448 outputs
Outputs of similar age from BMC Medicine
#99
of 178 outputs
Altmetric has tracked 12,517,134 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.9. This one is in the 49th percentile – i.e., 49% 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 256,448 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.