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As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 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 (68th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
37 Mendeley
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Title
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
Published in
BMC Medical Informatics and Decision Making, September 2020
DOI 10.1186/s12911-020-01224-9
Pubmed ID
Authors

Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza

Twitter Demographics

The data shown below were collected from the profiles of 11 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Master 6 16%
Researcher 5 14%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Other 6 16%
Unknown 7 19%
Readers by discipline Count As %
Engineering 7 19%
Computer Science 7 19%
Medicine and Dentistry 5 14%
Business, Management and Accounting 3 8%
Social Sciences 2 5%
Other 4 11%
Unknown 9 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 June 2022.
All research outputs
#5,295,120
of 22,053,897 outputs
Outputs from BMC Medical Informatics and Decision Making
#459
of 1,942 outputs
Outputs of similar age
#99,501
of 321,816 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 6 outputs
Altmetric has tracked 22,053,897 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,942 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 76% 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 321,816 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 68% of its contemporaries.
We're also able to compare this research output to 6 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