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The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects

Overview of attention for article published in Implementation Science, September 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 1,812)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
122 X users
facebook
1 Facebook page

Citations

dimensions_citation
237 Dimensions

Readers on

mendeley
518 Mendeley
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Title
The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects
Published in
Implementation Science, September 2020
DOI 10.1186/s13012-020-01041-8
Pubmed ID
Authors

Justin D. Smith, Dennis H. Li, Miriam R. Rafferty

X Demographics

X Demographics

The data shown below were collected from the profiles of 122 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 518 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 518 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 77 15%
Student > Ph. D. Student 55 11%
Student > Master 52 10%
Student > Doctoral Student 32 6%
Other 24 5%
Other 92 18%
Unknown 186 36%
Readers by discipline Count As %
Medicine and Dentistry 84 16%
Nursing and Health Professions 52 10%
Psychology 38 7%
Social Sciences 37 7%
Business, Management and Accounting 17 3%
Other 73 14%
Unknown 217 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 January 2023.
All research outputs
#515,633
of 25,446,666 outputs
Outputs from Implementation Science
#34
of 1,812 outputs
Outputs of similar age
#15,305
of 431,477 outputs
Outputs of similar age from Implementation Science
#1
of 35 outputs
Altmetric has tracked 25,446,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,812 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 98% 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 431,477 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 96% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.