| Title |
Body mass index, triglycerides, glucose, and blood pressure as predictors of type 2 diabetes in a middle-aged Norwegian cohort of men and women
|
|---|---|
| Published in |
Clinical Epidemiology, August 2012
|
| DOI | 10.2147/clep.s31830 |
| Pubmed ID | |
| Authors |
Vidar Hjellvik, Solveig Sakshaug, Hanne Strøm |
| Abstract |
Obesity, hypertension, and hypertriglyceridemia are important risk factors for type 2 diabetes (T2D). We wanted to assess the risk associated with these three factors alone and in combination, and the relative importance of these and several other risk factors (eg, nonfasting glucose) as predictors of T2D. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 32% |
| Student > Ph. D. Student | 8 | 13% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 39% |
| Nursing and Health Professions | 9 | 15% |
| Agricultural and Biological Sciences | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 15 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 December 2019.
All research outputs
#5,629,250
of 26,017,215 outputs
Outputs from Clinical Epidemiology
#244
of 814 outputs
Outputs of similar age
#38,342
of 183,264 outputs
Outputs of similar age from Clinical Epidemiology
#3
of 10 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 69% 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 183,264 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.