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Exploring polypharmacy with artificial intelligence: data analysis protocol

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 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)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Exploring polypharmacy with artificial intelligence: data analysis protocol
Published in
BMC Medical Informatics and Decision Making, July 2021
DOI 10.1186/s12911-021-01583-x
Pubmed ID
Authors

Caroline Sirois, Richard Khoury, Audrey Durand, Pierre-Luc Deziel, Olga Bukhtiyarova, Yohann Chiu, Denis Talbot, Alexandre Bureau, Philippe Després, Christian Gagné, François Laviolette, Anne-Marie Savard, Jacques Corbeil, Thierry Badard, Sonia Jean, Marc Simard

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 8%
Student > Bachelor 4 6%
Professor 3 5%
Lecturer 3 5%
Student > Master 3 5%
Other 9 14%
Unknown 38 58%
Readers by discipline Count As %
Nursing and Health Professions 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Computer Science 3 5%
Psychology 3 5%
Business, Management and Accounting 2 3%
Other 11 17%
Unknown 38 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 September 2021.
All research outputs
#4,132,657
of 23,310,485 outputs
Outputs from BMC Medical Informatics and Decision Making
#357
of 2,024 outputs
Outputs of similar age
#92,949
of 438,065 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 63 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 82% 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 438,065 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 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.