The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses
|
---|---|
Published in |
Nature Genetics, June 2024
|
DOI | 10.1038/s41588-024-01782-y |
Pubmed ID | |
Authors |
Takafumi Ojima, Shinichi Namba, Ken Suzuki, Kenichi Yamamoto, Kyuto Sonehara, Akira Narita, Yoichiro Kamatani, Gen Tamiya, Masayuki Yamamoto, Toshimasa Yamauchi, Takashi Kadowaki, Yukinori Okada |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 9 | 20% |
United States | 4 | 9% |
Canada | 2 | 4% |
Malawi | 1 | 2% |
United Kingdom | 1 | 2% |
Lebanon | 1 | 2% |
Singapore | 1 | 2% |
Finland | 1 | 2% |
Unknown | 25 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 30 | 67% |
Scientists | 13 | 29% |
Practitioners (doctors, other healthcare professionals) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 17% |
Researcher | 4 | 17% |
Professor | 3 | 13% |
Professor > Associate Professor | 2 | 8% |
Other | 2 | 8% |
Other | 4 | 17% |
Unknown | 5 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 21% |
Unspecified | 4 | 17% |
Medicine and Dentistry | 3 | 13% |
Agricultural and Biological Sciences | 3 | 13% |
Computer Science | 2 | 8% |
Other | 0 | 0% |
Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 30 August 2024.
All research outputs
#1,106,274
of 26,554,122 outputs
Outputs from Nature Genetics
#1,848
of 7,755 outputs
Outputs of similar age
#15,745
of 318,146 outputs
Outputs of similar age from Nature Genetics
#47
of 100 outputs
Altmetric has tracked 26,554,122 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,755 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.7. This one has done well, scoring higher than 76% 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 318,146 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 100 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 53% of its contemporaries.