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Using a RE-AIM framework to identify promising practices in National Diabetes Prevention Program implementation

Overview of attention for article published in Implementation Science, August 2019
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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 (87th percentile)

Mentioned by

twitter
27 tweeters

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
92 Mendeley
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Title
Using a RE-AIM framework to identify promising practices in National Diabetes Prevention Program implementation
Published in
Implementation Science, August 2019
DOI 10.1186/s13012-019-0928-9
Authors

Kunthea Nhim, Stephanie M. Gruss, Deborah S. Porterfield, Sara Jacobs, Wendi Elkins, Elizabeth T. Luman, Susan Van Aacken, Patricia Schumacher, Ann Albright

Twitter Demographics

The data shown below were collected from the profiles of 27 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 15%
Researcher 13 14%
Student > Ph. D. Student 13 14%
Student > Bachelor 10 11%
Other 5 5%
Other 9 10%
Unknown 28 30%
Readers by discipline Count As %
Nursing and Health Professions 15 16%
Social Sciences 13 14%
Medicine and Dentistry 13 14%
Psychology 6 7%
Computer Science 3 3%
Other 15 16%
Unknown 27 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 24 September 2019.
All research outputs
#1,630,533
of 20,999,751 outputs
Outputs from Implementation Science
#389
of 1,673 outputs
Outputs of similar age
#34,333
of 280,970 outputs
Outputs of similar age from Implementation Science
#1
of 1 outputs
Altmetric has tracked 20,999,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 76% 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 280,970 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 87% 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