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Decision algorithm for when to use the ICD-11 3-part model for healthcare harms

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2022
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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8 Mendeley
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Title
Decision algorithm for when to use the ICD-11 3-part model for healthcare harms
Published in
BMC Medical Informatics and Decision Making, June 2022
DOI 10.1186/s12911-022-01887-6
Pubmed ID
Authors

Cathy A. Eastwood, Shahreen Khair, Danielle A. Southern

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Other 1 13%
Librarian 1 13%
Student > Master 1 13%
Student > Bachelor 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Computer Science 1 13%
Engineering 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 June 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,598
of 2,024 outputs
Outputs of similar age
#315,434
of 445,901 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#39
of 53 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 445,901 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.