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Modeling the impact of prevention policies on future diabetes prevalence in the United States: 2010–2030

Overview of attention for article published in Population Health Metrics, September 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 376)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
9 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Modeling the impact of prevention policies on future diabetes prevalence in the United States: 2010–2030
Published in
Population Health Metrics, September 2013
DOI 10.1186/1478-7954-11-18
Pubmed ID
Authors

Edward W Gregg, James P Boyle, Theodore J Thompson, Lawrence E Barker, Ann L Albright, David F Williamson

Abstract

Although diabetes is one of the most costly and rapidly increasing serious chronic diseases worldwide, the optimal mix of strategies to reduce diabetes prevalence has not been determined.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Germany 1 2%
Unknown 45 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Bachelor 7 14%
Student > Ph. D. Student 7 14%
Student > Doctoral Student 4 8%
Professor 4 8%
Other 9 18%
Unknown 3 6%
Readers by discipline Count As %
Medicine and Dentistry 13 27%
Agricultural and Biological Sciences 6 12%
Engineering 4 8%
Social Sciences 4 8%
Nursing and Health Professions 3 6%
Other 13 27%
Unknown 6 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 13 October 2014.
All research outputs
#1,616,795
of 19,521,967 outputs
Outputs from Population Health Metrics
#42
of 376 outputs
Outputs of similar age
#16,156
of 180,571 outputs
Outputs of similar age from Population Health Metrics
#1
of 1 outputs
Altmetric has tracked 19,521,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 88% 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 180,571 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them