| Title |
Biomarkers of cardiovascular disease: contributions to risk prediction in individuals with diabetes
|
|---|---|
| Published in |
Diabetologia, September 2017
|
| DOI | 10.1007/s00125-017-4442-9 |
| Pubmed ID | |
| Authors |
Katherine N. Bachmann, Thomas J. Wang |
| Abstract |
Cardiovascular disease is a leading cause of death, especially in individuals with diabetes mellitus, whose risk of morbidity and mortality due to cardiovascular disease is markedly increased compared with the general population. There has been growing interest in the identification of biomarkers of cardiovascular disease in people with diabetes. The present review focuses on the current and potential contributions of these biomarkers to predicting cardiovascular risk in individuals with diabetes. At present, certain biomarkers and biomarker combinations can lead to modest improvements in the prediction of cardiovascular disease in diabetes beyond traditional cardiovascular risk factors. Emerging technologies may enable the discovery of novel biomarkers and generate new information about known biomarkers (such as new combinations of biomarkers), which could lead to significant improvements in cardiovascular disease risk prediction. A critical question, however, is whether improvements in risk prediction will affect processes of care and decision making in clinical practice, as this will be required to achieve the ultimate goal of improving clinical outcomes in diabetes. |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 17% |
| Canada | 2 | 7% |
| United States | 2 | 7% |
| Denmark | 2 | 7% |
| Mexico | 1 | 3% |
| Brazil | 1 | 3% |
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 63% |
| Practitioners (doctors, other healthcare professionals) | 6 | 20% |
| Scientists | 5 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 14% |
| Researcher | 11 | 13% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Other | 8 | 9% |
| Other | 17 | 20% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 25% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Agricultural and Biological Sciences | 4 | 5% |
| Nursing and Health Professions | 4 | 5% |
| Business, Management and Accounting | 3 | 3% |
| Other | 12 | 14% |
| Unknown | 32 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 July 2018.
All research outputs
#1,770,100
of 23,031,582 outputs
Outputs from Diabetologia
#965
of 5,090 outputs
Outputs of similar age
#37,240
of 321,018 outputs
Outputs of similar age from Diabetologia
#31
of 90 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,090 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done well, scoring higher than 80% 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 321,018 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 88% of its contemporaries.
We're also able to compare this research output to 90 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 65% of its contemporaries.