↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

policy
2 policy sources

Readers on

mendeley
167 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Brazil 2 1%
Ghana 1 <1%
Bolivia, Plurinational State of 1 <1%
Norway 1 <1%
Indonesia 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Other 1 <1%
Unknown 151 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 26%
Student > Ph. D. Student 26 16%
Student > Master 26 16%
Other 14 8%
Student > Doctoral Student 12 7%
Other 36 22%
Unknown 9 5%
Readers by discipline Count As %
Medicine and Dentistry 58 35%
Social Sciences 21 13%
Psychology 21 13%
Nursing and Health Professions 15 9%
Business, Management and Accounting 11 7%
Other 20 12%
Unknown 21 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 February 2018.
All research outputs
#2,777,308
of 14,587,834 outputs
Outputs from Implementation Science
#748
of 1,437 outputs
Outputs of similar age
#67,816
of 264,278 outputs
Outputs of similar age from Implementation Science
#10
of 12 outputs
Altmetric has tracked 14,587,834 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 264,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.