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Twitter Demographics
Mendeley readers
Attention Score in Context
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
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Published in |
BMC Medicine, September 2022
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DOI | 10.1186/s12916-022-02491-1 |
Pubmed ID | |
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 |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
South Africa | 1 | 14% |
United States | 1 | 14% |
Mexico | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 6 | 33% |
Student > Master | 2 | 11% |
Lecturer | 2 | 11% |
Lecturer > Senior Lecturer | 1 | 6% |
Librarian | 1 | 6% |
Other | 2 | 11% |
Unknown | 4 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 33% |
Medicine and Dentistry | 2 | 11% |
Computer Science | 2 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Earth and Planetary Sciences | 1 | 6% |
Other | 1 | 6% |
Unknown | 5 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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
#13,952,760
of 23,885,338 outputs
Outputs from BMC Medicine
#2,931
of 3,628 outputs
Outputs of similar age
#173,844
of 418,498 outputs
Outputs of similar age from BMC Medicine
#103
of 142 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one is in the 18th percentile – i.e., 18% 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 418,498 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 57% 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 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.