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X Demographics
Mendeley readers
Attention Score in Context
Title |
Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling
|
---|---|
Published in |
Molecular Metabolism, August 2016
|
DOI | 10.1016/j.molmet.2016.08.011 |
Pubmed ID | |
Authors |
Loic Yengo, Abdelilah Arredouani, Michel Marre, Ronan Roussel, Martine Vaxillaire, Mario Falchi, Abdelali Haoudi, Jean Tichet, The D.E.S.I.R Study Group, Beverley Balkau, Amélie Bonnefond, Philippe Froguel |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 1% |
Unknown | 71 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 28% |
Student > Ph. D. Student | 14 | 19% |
Student > Master | 9 | 13% |
Student > Bachelor | 6 | 8% |
Student > Postgraduate | 3 | 4% |
Other | 9 | 13% |
Unknown | 11 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 22% |
Biochemistry, Genetics and Molecular Biology | 12 | 17% |
Agricultural and Biological Sciences | 11 | 15% |
Chemistry | 4 | 6% |
Nursing and Health Professions | 2 | 3% |
Other | 12 | 17% |
Unknown | 15 | 21% |
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 13 September 2016.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from Molecular Metabolism
#1,570
of 1,634 outputs
Outputs of similar age
#320,237
of 359,942 outputs
Outputs of similar age from Molecular Metabolism
#34
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one is in the 1st percentile – i.e., 1% 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 359,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.