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Arduous implementation: Does the Normalisation Process Model explain why it's so difficult to embed decision support technologies for patients in routine clinical practice

Overview of attention for article published in Implementation Science, December 2008
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
210 Mendeley
citeulike
2 CiteULike
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Title
Arduous implementation: Does the Normalisation Process Model explain why it's so difficult to embed decision support technologies for patients in routine clinical practice
Published in
Implementation Science, December 2008
DOI 10.1186/1748-5908-3-57
Pubmed ID
Authors

Glyn Elwyn, France Légaré, Trudy van der Weijden, Adrian Edwards, Carl May

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Brazil 2 <1%
Norway 1 <1%
Bolivia, Plurinational State of 1 <1%
Ghana 1 <1%
Netherlands 1 <1%
Finland 1 <1%
Indonesia 1 <1%
Canada 1 <1%
Other 1 <1%
Unknown 194 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 22%
Student > Ph. D. Student 31 15%
Student > Master 27 13%
Other 16 8%
Student > Doctoral Student 16 8%
Other 44 21%
Unknown 29 14%
Readers by discipline Count As %
Medicine and Dentistry 66 31%
Psychology 25 12%
Social Sciences 24 11%
Nursing and Health Professions 16 8%
Business, Management and Accounting 12 6%
Other 25 12%
Unknown 42 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 November 2023.
All research outputs
#3,309,417
of 24,834,604 outputs
Outputs from Implementation Science
#701
of 1,785 outputs
Outputs of similar age
#16,067
of 183,171 outputs
Outputs of similar age from Implementation Science
#2
of 7 outputs
Altmetric has tracked 24,834,604 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,785 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 gotten more attention than average, scoring higher than 60% 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 183,171 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 90% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.