| Title |
Modelling of OGTT curve identifies 1 h plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohorts
|
|---|---|
| Published in |
Diabetologia, October 2014
|
| DOI | 10.1007/s00125-014-3390-x |
| Pubmed ID | |
| Authors |
Akram Alyass, Peter Almgren, Mikael Akerlund, Jonathan Dushoff, Bo Isomaa, Peter Nilsson, Tiinamaija Tuomi, Valeriya Lyssenko, Leif Groop, David Meyre |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 1% |
| Finland | 1 | 1% |
| United Kingdom | 1 | 1% |
| Mexico | 1 | 1% |
| Denmark | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 64 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 8 | 11% |
| Other | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 18 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 39% |
| Agricultural and Biological Sciences | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Nursing and Health Professions | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 20 | 29% |
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 10 December 2014.
All research outputs
#17,345,186
of 26,017,215 outputs
Outputs from Diabetologia
#5,082
of 5,646 outputs
Outputs of similar age
#159,021
of 271,593 outputs
Outputs of similar age from Diabetologia
#46
of 57 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,646 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. 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 271,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 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.