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Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

Overview of attention for article published in BMC Medical Informatics and Decision Making, May 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
49 Mendeley
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Title
Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining
Published in
BMC Medical Informatics and Decision Making, May 2021
DOI 10.1186/s12911-021-01518-6
Pubmed ID
Authors

Emmanuel Bresso, Pierre Monnin, Cédric Bousquet, François-Elie Calvier, Ndeye-Coumba Ndiaye, Nadine Petitpain, Malika Smaïl-Tabbone, Adrien Coulet

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 14%
Researcher 5 10%
Student > Master 4 8%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 19 39%
Readers by discipline Count As %
Computer Science 8 16%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Engineering 4 8%
Medicine and Dentistry 2 4%
Business, Management and Accounting 2 4%
Other 8 16%
Unknown 21 43%
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 05 July 2022.
All research outputs
#6,730,895
of 22,792,160 outputs
Outputs from BMC Medical Informatics and Decision Making
#640
of 1,987 outputs
Outputs of similar age
#146,284
of 445,470 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 59 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,987 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% 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 445,470 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 66% 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 66% of its contemporaries.