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Explaining Matching Michigan: an ethnographic study of a patient safety program

Overview of attention for article published in Implementation Science, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 1,394)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
twitter
126 tweeters
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
133 Dimensions

Readers on

mendeley
184 Mendeley
Title
Explaining Matching Michigan: an ethnographic study of a patient safety program
Published in
Implementation Science, June 2013
DOI 10.1186/1748-5908-8-70
Pubmed ID
Authors

Mary Dixon-Woods, Myles Leslie, Carolyn Tarrant, Julian Bion

Abstract

Quality and safety improvement initiatives in healthcare often display two disconcerting effects. The first is a failure to outperform the secular trend. The second is the decline effect, where an initially promising intervention appears not to deliver equally successful results when attempts are made to replicate it in new settings. Matching Michigan, a patient safety program aimed at decreasing central line infections in over 200 intensive care units (ICUs) in England, may be an example of both. We aimed to explain why these apparent effects may have occurred.

Twitter Demographics

The data shown below were collected from the profiles of 126 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 4%
Spain 2 1%
Uganda 1 <1%
Australia 1 <1%
Rwanda 1 <1%
United States 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Unknown 169 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 20%
Student > Master 33 18%
Student > Ph. D. Student 29 16%
Unspecified 15 8%
Student > Postgraduate 15 8%
Other 56 30%
Readers by discipline Count As %
Medicine and Dentistry 84 46%
Unspecified 26 14%
Social Sciences 22 12%
Nursing and Health Professions 22 12%
Psychology 7 4%
Other 23 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 106. 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 01 October 2019.
All research outputs
#150,629
of 13,596,405 outputs
Outputs from Implementation Science
#13
of 1,394 outputs
Outputs of similar age
#1,692
of 153,125 outputs
Outputs of similar age from Implementation Science
#1
of 18 outputs
Altmetric has tracked 13,596,405 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. 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 153,125 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 98% of its contemporaries.
We're also able to compare this research output to 18 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 94% of its contemporaries.