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Measurement of a model of implementation for health care: toward a testable theory

Overview of attention for article published in Implementation Science, July 2012
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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)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
12 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
145 Mendeley
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Title
Measurement of a model of implementation for health care: toward a testable theory
Published in
Implementation Science, July 2012
DOI 10.1186/1748-5908-7-59
Pubmed ID
Authors

Joan M Cook, Casey O’Donnell, Stephanie Dinnen, James C Coyne, Josef I Ruzek, Paula P Schnurr

Abstract

Greenhalgh et al. used a considerable evidence-base to develop a comprehensive model of implementation of innovations in healthcare organizations [1]. However, these authors did not fully operationalize their model, making it difficult to test formally. The present paper represents a first step in operationalizing Greenhalgh et al.'s model by providing background, rationale, working definitions, and measurement of key constructs.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 3 2%
Uganda 1 <1%
France 1 <1%
Norway 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 134 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 19%
Student > Ph. D. Student 22 15%
Researcher 21 14%
Student > Doctoral Student 18 12%
Other 10 7%
Other 33 23%
Unknown 14 10%
Readers by discipline Count As %
Medicine and Dentistry 34 23%
Social Sciences 26 18%
Psychology 20 14%
Business, Management and Accounting 11 8%
Nursing and Health Professions 11 8%
Other 28 19%
Unknown 15 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 April 2013.
All research outputs
#3,592,842
of 21,030,811 outputs
Outputs from Implementation Science
#789
of 1,673 outputs
Outputs of similar age
#23,805
of 141,833 outputs
Outputs of similar age from Implementation Science
#1
of 6 outputs
Altmetric has tracked 21,030,811 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 1,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 52% 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 141,833 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them