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Voice-based diagnosis of covid-19: ethical and legal challenges

Overview of attention for article published in International Data Privacy Law, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
12 tweeters

Readers on

mendeley
3 Mendeley
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Title
Voice-based diagnosis of covid-19: ethical and legal challenges
Published in
International Data Privacy Law, January 2021
DOI 10.1093/idpl/ipab004
Authors

Marco Almada, Juliano Maranhão

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 33%
Student > Ph. D. Student 1 33%
Student > Bachelor 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Nursing and Health Professions 1 33%
Social Sciences 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 March 2021.
All research outputs
#2,718,547
of 17,397,008 outputs
Outputs from International Data Privacy Law
#60
of 199 outputs
Outputs of similar age
#68,230
of 320,197 outputs
Outputs of similar age from International Data Privacy Law
#1
of 1 outputs
Altmetric has tracked 17,397,008 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 69% 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 320,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them