| Title |
Conceptualizing type 2 diabetes and its management
|
|---|---|
| Published in |
Journal of Multidisciplinary Healthcare, March 2016
|
| DOI | 10.2147/jmdh.s88684 |
| Pubmed ID | |
| Authors |
Peter Tsasis, Jianhong Wu, Aijun An, Hannah J Wong, Xiandong An, Zhen Mei, Ted Hains |
| Abstract |
Type 2 diabetes is growing worldwide due to population growth, increased rates of obesity, unhealthy diet, and physical inactivity. Risk assessment methods can effectively evaluate the risk of diabetes, and a healthy lifestyle can significantly reduce risk or prevent complications of type 2 diabetes. However, risk assessment alone has not significantly improved poor adherence to recommended medical interventions and lifestyle changes. This paper focuses on the challenge of nonadherence and posits that improving adherence requires tailoring interventions that explicitly consider the social determinants of health. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 54 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 24% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 24% |
| Agricultural and Biological Sciences | 6 | 11% |
| Nursing and Health Professions | 6 | 11% |
| Computer Science | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 15 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 November 2020.
All research outputs
#6,971,469
of 22,858,915 outputs
Outputs from Journal of Multidisciplinary Healthcare
#273
of 819 outputs
Outputs of similar age
#96,945
of 298,398 outputs
Outputs of similar age from Journal of Multidisciplinary Healthcare
#11
of 14 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 819 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 66% 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 298,398 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 66% of its contemporaries.
We're also able to compare this research output to 14 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.