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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Resting heart rate as a marker for identifying the risk of undiagnosed type 2 diabetes mellitus: a cross-sectional survey
|
|---|---|
| Published in |
BMC Public Health, October 2014
|
| DOI | 10.1186/1471-2458-14-1052 |
| Pubmed ID | |
| Authors |
Yu-qian Li, Chang-qing Sun, Lin-lin Li, Ling Wang, Yi-rui Guo, Ai-guo You, Yuan-lin Xi, Chong-jian Wang |
| Abstract |
Fast resting heart rate might increase the risk of developing type 2 diabetes mellitus (T2DM). However, it is unclear whether resting heart rate could be used to predict the risk of undiagnosed T2DM. Therefore, the purposes of this study were to examine the association between resting heart rate and undiagnosed T2DM, and evaluate the feasibility of using resting heart rate as a marker for identifying the risk of undiagnosed T2DM. |
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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 19% |
| Student > Bachelor | 7 | 16% |
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 3 | 7% |
| Student > Postgraduate | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 23% |
| Nursing and Health Professions | 8 | 19% |
| Engineering | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2023.
All research outputs
#15,356,159
of 23,605,418 outputs
Outputs from BMC Public Health
#11,148
of 15,326 outputs
Outputs of similar age
#143,009
of 256,375 outputs
Outputs of similar age from BMC Public Health
#201
of 271 outputs
Altmetric has tracked 23,605,418 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,326 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 24th percentile – i.e., 24% 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 256,375 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 271 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.