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Understanding challenges of using routinely collected health data to address clinical care gaps: a case study in Alberta, Canada

Overview of attention for article published in BMJ Open Quality, January 2022
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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 (94th percentile)

Mentioned by

news
2 news outlets
twitter
1 X user

Readers on

mendeley
42 Mendeley
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Title
Understanding challenges of using routinely collected health data to address clinical care gaps: a case study in Alberta, Canada
Published in
BMJ Open Quality, January 2022
DOI 10.1136/bmjoq-2021-001491
Pubmed ID
Authors

Taylor McGuckin, Katelynn Crick, Tyler W Myroniuk, Brock Setchell, Roseanne O Yeung, Denise Campbell-Scherer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 2 5%
Researcher 2 5%
Other 6 14%
Unknown 17 40%
Readers by discipline Count As %
Nursing and Health Professions 6 14%
Medicine and Dentistry 5 12%
Engineering 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Computer Science 2 5%
Other 5 12%
Unknown 19 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 April 2024.
All research outputs
#2,100,820
of 25,711,518 outputs
Outputs from BMJ Open Quality
#117
of 1,348 outputs
Outputs of similar age
#50,711
of 518,105 outputs
Outputs of similar age from BMJ Open Quality
#2
of 37 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,348 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 91% 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 518,105 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 37 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.