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Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review

Overview of attention for article published in BMC Medical Research Methodology, May 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review
Published in
BMC Medical Research Methodology, May 2022
DOI 10.1186/s12874-022-01610-z
Pubmed ID
Authors

Julia Walsh, Christine Dwumfour, Jonathan Cave, Frances Griffiths

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Unspecified 2 6%
Lecturer 1 3%
Other 1 3%
Unknown 15 43%
Readers by discipline Count As %
Computer Science 5 14%
Nursing and Health Professions 4 11%
Social Sciences 3 9%
Mathematics 2 6%
Unspecified 2 6%
Other 3 9%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 August 2022.
All research outputs
#6,919,286
of 23,172,045 outputs
Outputs from BMC Medical Research Methodology
#1,023
of 2,045 outputs
Outputs of similar age
#136,499
of 441,531 outputs
Outputs of similar age from BMC Medical Research Methodology
#23
of 64 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 49th percentile – i.e., 49% 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 441,531 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 68% of its contemporaries.
We're also able to compare this research output to 64 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 64% of its contemporaries.