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What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation

Overview of attention for article published in Implementation Science, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
twitter
56 X users
facebook
1 Facebook page

Citations

dimensions_citation
190 Dimensions

Readers on

mendeley
354 Mendeley
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Title
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation
Published in
Implementation Science, September 2017
DOI 10.1186/s13012-017-0644-2
Pubmed ID
Authors

Elisa G. Liberati, Francesca Ruggiero, Laura Galuppo, Mara Gorli, Marien González-Lorenzo, Marco Maraldi, Pietro Ruggieri, Hernan Polo Friz, Giuseppe Scaratti, Koren H. Kwag, Roberto Vespignani, Lorenzo Moja

X Demographics

X Demographics

The data shown below were collected from the profiles of 56 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 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 354 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 13%
Student > Master 46 13%
Student > Ph. D. Student 36 10%
Student > Bachelor 26 7%
Student > Doctoral Student 24 7%
Other 51 14%
Unknown 125 35%
Readers by discipline Count As %
Medicine and Dentistry 58 16%
Nursing and Health Professions 29 8%
Computer Science 27 8%
Business, Management and Accounting 19 5%
Social Sciences 14 4%
Other 69 19%
Unknown 138 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 03 June 2022.
All research outputs
#1,093,089
of 26,017,215 outputs
Outputs from Implementation Science
#168
of 1,821 outputs
Outputs of similar age
#21,845
of 327,304 outputs
Outputs of similar age from Implementation Science
#9
of 27 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,821 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 90% 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 327,304 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 93% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.