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Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies

Overview of attention for article published in npj Digital Medicine, February 2021
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
2 blogs
policy
2 policy sources
twitter
65 X users

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
372 Mendeley
Title
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
Published in
npj Digital Medicine, February 2021
DOI 10.1038/s41746-021-00412-9
Pubmed ID
Authors

Dinesh Visva Gunasekeran, Rachel Marjorie Wei Wen Tseng, Yih-Chung Tham, Tien Yin Wong

X Demographics

X Demographics

The data shown below were collected from the profiles of 65 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 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 372 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 10%
Student > Master 36 10%
Student > Ph. D. Student 23 6%
Student > Bachelor 22 6%
Student > Doctoral Student 17 5%
Other 65 17%
Unknown 172 46%
Readers by discipline Count As %
Medicine and Dentistry 44 12%
Computer Science 27 7%
Nursing and Health Professions 25 7%
Social Sciences 19 5%
Engineering 17 5%
Other 58 16%
Unknown 182 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 02 December 2022.
All research outputs
#822,357
of 25,235,161 outputs
Outputs from npj Digital Medicine
#250
of 954 outputs
Outputs of similar age
#22,682
of 426,722 outputs
Outputs of similar age from npj Digital Medicine
#17
of 59 outputs
Altmetric has tracked 25,235,161 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. This one has gotten more attention than average, scoring higher than 73% 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 426,722 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 94% of its contemporaries.
We're also able to compare this research output to 59 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 72% of its contemporaries.