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Development of a theory of implementation and integration: Normalization Process Theory

Overview of attention for article published in Implementation Science, May 2009
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
10 X users

Citations

dimensions_citation
870 Dimensions

Readers on

mendeley
1070 Mendeley
citeulike
6 CiteULike
Title
Development of a theory of implementation and integration: Normalization Process Theory
Published in
Implementation Science, May 2009
DOI 10.1186/1748-5908-4-29
Pubmed ID
Authors

Carl R May, Frances Mair, Tracy Finch, Anne MacFarlane, Christopher Dowrick, Shaun Treweek, Tim Rapley, Luciana Ballini, Bie Nio Ong, Anne Rogers, Elizabeth Murray, Glyn Elwyn, France Légaré, Jane Gunn, Victor M Montori

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 1,070 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 1%
United Kingdom 11 1%
Canada 4 <1%
Netherlands 3 <1%
Denmark 2 <1%
Mozambique 1 <1%
Indonesia 1 <1%
France 1 <1%
Italy 1 <1%
Other 10 <1%
Unknown 1025 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 203 19%
Researcher 178 17%
Student > Master 142 13%
Student > Doctoral Student 62 6%
Other 54 5%
Other 202 19%
Unknown 229 21%
Readers by discipline Count As %
Medicine and Dentistry 231 22%
Social Sciences 157 15%
Nursing and Health Professions 110 10%
Psychology 82 8%
Business, Management and Accounting 71 7%
Other 150 14%
Unknown 269 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 July 2022.
All research outputs
#4,292,254
of 26,017,215 outputs
Outputs from Implementation Science
#785
of 1,822 outputs
Outputs of similar age
#16,989
of 110,010 outputs
Outputs of similar age from Implementation Science
#7
of 10 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 56% 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 110,010 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 83% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.