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Making sense of implementation theories, models and frameworks

Overview of attention for article published in Implementation Science, April 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 1,843)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

dimensions_citation
2714 Dimensions

Readers on

mendeley
5214 Mendeley
citeulike
3 CiteULike
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Title
Making sense of implementation theories, models and frameworks
Published in
Implementation Science, April 2015
DOI 10.1186/s13012-015-0242-0
Pubmed ID
Authors

Per Nilsen

X Demographics

X Demographics

The data shown below were collected from the profiles of 320 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5,214 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 16 <1%
United States 12 <1%
Netherlands 5 <1%
Canada 5 <1%
Denmark 3 <1%
Spain 3 <1%
Malaysia 3 <1%
Indonesia 2 <1%
Italy 1 <1%
Other 11 <1%
Unknown 5153 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 876 17%
Student > Ph. D. Student 837 16%
Researcher 644 12%
Student > Doctoral Student 426 8%
Other 255 5%
Other 953 18%
Unknown 1223 23%
Readers by discipline Count As %
Medicine and Dentistry 795 15%
Nursing and Health Professions 752 14%
Social Sciences 715 14%
Psychology 369 7%
Business, Management and Accounting 234 4%
Other 863 17%
Unknown 1486 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 241. 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 20 July 2024.
All research outputs
#164,250
of 26,369,011 outputs
Outputs from Implementation Science
#5
of 1,843 outputs
Outputs of similar age
#1,639
of 280,677 outputs
Outputs of similar age from Implementation Science
#1
of 54 outputs
Altmetric has tracked 26,369,011 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,843 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 99% 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 280,677 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 99% of its contemporaries.
We're also able to compare this research output to 54 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 98% of its contemporaries.