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Measures of risk and their relationship to the relative size of a high-risk group: application to medical thromboprophylaxis

Overview of attention for article published in Clinical Epidemiology, October 2012
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Mentioned by

twitter
1 tweeter

Citations

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2 Dimensions

Readers on

mendeley
7 Mendeley
Title
Measures of risk and their relationship to the relative size of a high-risk group: application to medical thromboprophylaxis
Published in
Clinical Epidemiology, October 2012
DOI 10.2147/clep.s37527
Pubmed ID
Authors

Alasdair Millar

Abstract

The aim of this study was to establish the meaning of "high-risk" when the subgroup so defined by risk factor analysis is a substantial proportion of the population. This is clinically important when patients, deemed to be at high risk as a result of risk factor analysis, become eligible for a clinical intervention to decrease the risk, especially if the intervention has adverse effects. One example in clinical practice is the assessment of eligibility for medical thromboprophylaxis.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 57%
Student > Bachelor 3 43%
Other 1 14%
Lecturer 1 14%
Professor 1 14%
Other 2 29%
Readers by discipline Count As %
Medicine and Dentistry 7 100%
Nursing and Health Professions 4 57%
Immunology and Microbiology 1 14%

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 31 October 2012.
All research outputs
#3,553,765
of 4,507,280 outputs
Outputs from Clinical Epidemiology
#109
of 133 outputs
Outputs of similar age
#65,725
of 82,868 outputs
Outputs of similar age from Clinical Epidemiology
#4
of 4 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 3rd percentile – i.e., 3% of other outputs scored the same or lower than it.
So far Altmetric has tracked 133 research outputs from this source. They receive a mean Attention Score of 3.8. 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 82,868 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 4 others from the same source and published within six weeks on either side of this one.