↓ Skip to main content

Support of personalized medicine through risk-stratified treatment recommendations - an environmental scan of clinical practice guidelines

Overview of attention for article published in BMC Medicine, January 2013
Altmetric Badge

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
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Support of personalized medicine through risk-stratified treatment recommendations - an environmental scan of clinical practice guidelines
Published in
BMC Medicine, January 2013
DOI 10.1186/1741-7015-11-7
Pubmed ID
Authors

Tsung Yu, Daniela Vollenweider, Ravi Varadhan, Tianjing Li, Cynthia Boyd, Milo A Puhan

Abstract

Risk-stratified treatment recommendations facilitate treatment decision-making that balances patient-specific risks and preferences. It is unclear if and how such recommendations are developed in clinical practice guidelines (CPGs). Our aim was to assess if and how CPGs develop risk-stratified treatment recommendations for the prevention or treatment of common chronic diseases.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Australia 1 2%
United Kingdom 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 11 18%
Researcher 9 15%
Other 5 8%
Professor > Associate Professor 4 7%
Other 17 28%
Readers by discipline Count As %
Medicine and Dentistry 32 52%
Unspecified 8 13%
Social Sciences 4 7%
Engineering 4 7%
Nursing and Health Professions 2 3%
Other 11 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 January 2013.
All research outputs
#413,316
of 4,507,280 outputs
Outputs from BMC Medicine
#573
of 1,205 outputs
Outputs of similar age
#34,015
of 283,947 outputs
Outputs of similar age from BMC Medicine
#56
of 93 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has gotten more attention than average, scoring higher than 52% 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 283,947 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 93 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.