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Digital Biomarkers for the Early Detection of Mild Cognitive Impairment: Artificial Intelligence Meets Virtual Reality

Overview of attention for article published in Frontiers in Human Neuroscience, July 2020
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
15 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
180 Mendeley
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Title
Digital Biomarkers for the Early Detection of Mild Cognitive Impairment: Artificial Intelligence Meets Virtual Reality
Published in
Frontiers in Human Neuroscience, July 2020
DOI 10.3389/fnhum.2020.00245
Pubmed ID
Authors

Silvia Cavedoni, Alice Chirico, Elisa Pedroli, Pietro Cipresso, Giuseppe Riva

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 180 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 12%
Student > Bachelor 17 9%
Student > Ph. D. Student 16 9%
Unspecified 13 7%
Student > Master 11 6%
Other 32 18%
Unknown 69 38%
Readers by discipline Count As %
Computer Science 21 12%
Psychology 18 10%
Medicine and Dentistry 15 8%
Unspecified 13 7%
Engineering 9 5%
Other 29 16%
Unknown 75 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 April 2023.
All research outputs
#3,586,413
of 26,557,909 outputs
Outputs from Frontiers in Human Neuroscience
#1,634
of 7,859 outputs
Outputs of similar age
#88,309
of 432,149 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#33
of 142 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 79% 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 432,149 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 79% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.