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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Blood glucose may be an alternative to cholesterol in CVD risk prediction charts
|
|---|---|
| Published in |
Cardiovascular Diabetology, January 2013
|
| DOI | 10.1186/1475-2840-12-24 |
| Pubmed ID | |
| Authors |
Julia Braun, Matthias Bopp, David Faeh |
| Abstract |
Established risk models for the prediction of cardiovascular disease (CVD) include blood pressure, smoking and cholesterol parameters. The use of total cholesterol for CVD risk prediction has been questioned, particularly for primary prevention. We evaluated whether glucose could be used instead of total cholesterol for prediction of fatal CVD using data with long follow-up. |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 3 | 50% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 4% |
| United States | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 47 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 9 | 18% |
| Student > Bachelor | 7 | 14% |
| Lecturer > Senior Lecturer | 4 | 8% |
| Other | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 49% |
| Computer Science | 3 | 6% |
| Mathematics | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 February 2013.
All research outputs
#7,362,616
of 25,658,139 outputs
Outputs from Cardiovascular Diabetology
#573
of 1,683 outputs
Outputs of similar age
#72,891
of 289,637 outputs
Outputs of similar age from Cardiovascular Diabetology
#9
of 35 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,683 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 65% 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 289,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 35 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 74% of its contemporaries.