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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factors associated with type 2 diabetes in patients with vascular dementia: a population-based cross-sectional study
|
|---|---|
| Published in |
BMC Endocrine Disorders, July 2018
|
| DOI | 10.1186/s12902-018-0273-z |
| Pubmed ID | |
| Authors |
Chun-Lin Liu, Ming-Yen Lin, Shang-Jyh Hwang, Ching-Kuan Liu, Huei-Lan Lee, Ming-Tsang Wu |
| Abstract |
Incidence of dementia is growing rapidly and affects many people worldwide. Type 2 diabetes mellitus (DM) might link cognitive decline and dementia, but the reasons for this association remain unclear. Our study explored the factors associated with type 2 DM in patients with dementia. Patients (n = 40,404) with vascular dementia were identified in Taiwan's 1997 to 2008 National Health Insurance Research Database and divided into a DM group and non-DM group. Eleven comorbidities were identified and categorized into four groups: cardiovascular and cerebrovascular diseases, digestive system diseases, renal and metabolic system diseases, and cancer. The associations of these factors with type 2 DM were explored through multivaraible logistic regression. Of the patients with dementia, 22.5% had DM. Associated with a higher likelihood of DM in this population were female sex (adjusted odds ratio [OR]: 1.44, 95% confidence interval [CI]: 1.36-1.52), young age (range of adjusted OR: 0.55-1.13), low income (range of adjusted OR: 1.09-1.18), and renal and metabolic system diseases (OR: 2.81, 95% CI: 2.64-2.98). The findings of this study suggest that clinicians should encourage patients with dementia to receive regular glucose impairment screening if they are female, have low socioeconomic status, or have renal or metabolic diseases. |
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 % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Student > Bachelor | 7 | 12% |
| Student > Ph. D. Student | 5 | 8% |
| Lecturer | 4 | 7% |
| Researcher | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 22 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 25% |
| Nursing and Health Professions | 8 | 13% |
| Psychology | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 22 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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
#3,255,897
of 23,881,329 outputs
Outputs from BMC Endocrine Disorders
#100
of 794 outputs
Outputs of similar age
#64,958
of 329,959 outputs
Outputs of similar age from BMC Endocrine Disorders
#2
of 15 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 794 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 87% 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 329,959 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 80% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.