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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visit-to-visit variability of fasting plasma glucose as predictor of ischemic stroke: competing risk analysis in a national cohort of Taiwan Diabetes Study
|
|---|---|
| Published in |
BMC Medicine, September 2014
|
| DOI | 10.1186/s12916-014-0165-7 |
| Pubmed ID | |
| Authors |
Cheng-Chieh Lin, Chun-Pai Yang, Chia-Ing Li, Chiu-Shong Liu, Ching-Chu Chen, Wen-Yuan Lin, Kai-Lin Hwang, Sing-Yu Yang, Tsai-Chung Li |
| Abstract |
Glycemic variation as an independent predictor of ischemic stroke in type 2 diabetic patients remains unclear. This study examined visit-to-visit variations in fasting plasma glucose (FPG), as represented by the coefficient of variation (CV), for predicting ischemic stroke independently, regardless of glycated hemoglobin (HbA1c) and other conventional risk factors in such patients. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 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 % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 20% |
| Researcher | 12 | 17% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 6 | 9% |
| Professor > Associate Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 49% |
| Nursing and Health Professions | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Computer Science | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 14 | 20% |
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 26 September 2014.
All research outputs
#17,727,479
of 22,764,165 outputs
Outputs from BMC Medicine
#3,115
of 3,413 outputs
Outputs of similar age
#169,778
of 252,277 outputs
Outputs of similar age from BMC Medicine
#82
of 88 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 6th percentile – i.e., 6% 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 252,277 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.