| Title |
Evaluating associations between the benefits and risks of drug therapy in type 2 diabetes: a joint modeling approach
|
|---|---|
| Published in |
Clinical Epidemiology, December 2018
|
| DOI | 10.2147/clep.s179555 |
| Pubmed ID | |
| Authors |
John M Dennis, Beverley M Shields, Angus G Jones, Ewan R Pearson, Andrew T Hattersley, William E Henley |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
| United States | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Ph. D. Student | 3 | 12% |
| Other | 2 | 8% |
| Librarian | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 31% |
| Computer Science | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Unknown | 14 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 17 December 2018.
All research outputs
#6,083,463
of 23,577,654 outputs
Outputs from Clinical Epidemiology
#231
of 742 outputs
Outputs of similar age
#122,099
of 439,878 outputs
Outputs of similar age from Clinical Epidemiology
#10
of 28 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 68% 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 439,878 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 72% of its contemporaries.
We're also able to compare this research output to 28 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 64% of its contemporaries.