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Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis

Overview of attention for article published in Family Medicine and Community Health, November 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Developing and testing an automated qualitative assistant (AQUA) to support qualitative analysis
Published in
Family Medicine and Community Health, November 2021
DOI 10.1136/fmch-2021-001287
Pubmed ID
Authors

Robert P Lennon, Robbie Fraleigh, Lauren J Van Scoy, Aparna Keshaviah, Xindi C Hu, Bethany L Snyder, Erin L Miller, William A Calo, Aleksandra E Zgierska, Christopher Griffin

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Master 8 16%
Student > Ph. D. Student 5 10%
Professor > Associate Professor 3 6%
Professor 1 2%
Other 1 2%
Unknown 22 45%
Readers by discipline Count As %
Social Sciences 5 10%
Computer Science 4 8%
Business, Management and Accounting 4 8%
Medicine and Dentistry 2 4%
Psychology 2 4%
Other 8 16%
Unknown 24 49%
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 30 November 2021.
All research outputs
#7,077,478
of 23,310,485 outputs
Outputs from Family Medicine and Community Health
#169
of 376 outputs
Outputs of similar age
#156,549
of 510,292 outputs
Outputs of similar age from Family Medicine and Community Health
#7
of 13 outputs
Altmetric has tracked 23,310,485 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 376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 54% 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 510,292 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 69% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.