| Title |
Influence of the glycation gap on the diagnosis of type 2 diabetes
|
|---|---|
| Published in |
Acta Diabetologica, October 2014
|
| DOI | 10.1007/s00592-014-0666-z |
| Pubmed ID | |
| Authors |
Santiago Rodriguez-Segade, Javier Rodriguez, José M. García-López, Felipe F. Casanueva, Ian C. Coleman, Carmen Alonso de la Peña, Félix Camiña |
| Abstract |
The results of using HbA1C-based criteria for diagnosis of type 2 diabetes and prediabetes have been reported to differ from those obtained using fasting plasma glucose (FPG) or an oral glucose tolerance test (OGTT). We aimed to determine whether these discrepancies might be due to the influence of the glycation gap. |
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 % |
|---|---|---|
| United Kingdom | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 30% |
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 4 | 15% |
| Researcher | 2 | 7% |
| Other | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 52% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Environmental Science | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 4 | 15% |
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 27 October 2014.
All research outputs
#19,020,456
of 23,576,969 outputs
Outputs from Acta Diabetologica
#674
of 953 outputs
Outputs of similar age
#188,096
of 261,378 outputs
Outputs of similar age from Acta Diabetologica
#23
of 28 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 953 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 17th percentile – i.e., 17% 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 261,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.