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Leveraging machine learning to examine engagement with a digital therapeutic

Overview of attention for article published in Frontiers in Digital Health, June 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
11 Mendeley
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Title
Leveraging machine learning to examine engagement with a digital therapeutic
Published in
Frontiers in Digital Health, June 2023
DOI 10.3389/fdgth.2023.1063165
Pubmed ID
Authors

Andrew C Heusser, Denton J DeLoss, Elena Cañadas, Titiimaea Alailima

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Student > Ph. D. Student 1 9%
Lecturer 1 9%
Unknown 7 64%
Readers by discipline Count As %
Unspecified 2 18%
Business, Management and Accounting 1 9%
Social Sciences 1 9%
Unknown 7 64%
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 11 June 2023.
All research outputs
#7,586,633
of 23,983,367 outputs
Outputs from Frontiers in Digital Health
#271
of 645 outputs
Outputs of similar age
#69,280
of 227,924 outputs
Outputs of similar age from Frontiers in Digital Health
#8
of 39 outputs
Altmetric has tracked 23,983,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 645 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 56% 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 227,924 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 64% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.