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Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers

Overview of attention for article published in BMC Medicine, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
Summary Twitter Dimensions citations
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Title
Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers
Published in
BMC Medicine, September 2022
DOI 10.1186/s12916-022-02491-1
Pubmed ID
36089590
Authors

Hossein Bonakdari, Jean-Pierre Pelletier, Francisco J. Blanco, Ignacio Rego-Pérez, Alejandro Durán-Sotuela, Dawn Aitken, Graeme Jones, Flavia Cicuttini, Afshin Jamshidi, François Abram, Johanne Martel-Pelletier

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 7 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Medicine and Dentistry 1 20%
Unknown 3 60%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 September 2022.
All research outputs
#13,800,705
of 23,390,392 outputs
Outputs from BMC Medicine
#2,894
of 3,525 outputs
Outputs of similar age
#178,869
of 435,391 outputs
Outputs of similar age from BMC Medicine
#107
of 142 outputs
Altmetric has tracked 23,390,392 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one is in the 16th percentile – i.e., 16% 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 435,391 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 56% 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 is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.

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