| Title |
TriMaster: randomised double-blind crossover study of a DPP4 inhibitor, SGLT2 inhibitor and thiazolidinedione as second-line or third-line therapy in patients with type 2 diabetes who have suboptimal glycaemic control on metformin treatment with or without a sulfonylurea—a MASTERMIND study protocol
|
|---|---|
| Published in |
BMJ Open, December 2020
|
| DOI | 10.1136/bmjopen-2020-042784 |
| Pubmed ID | |
| Authors |
Catherine Angwin, Caroline Jenkinson, Angus Jones, Christopher Jennison, William Henley, Andrew Farmer, Naveed Sattar, Rury R Holman, Ewan Pearson, Beverley Shields, Andrew Hattersley, MASTERMIND consortium |
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X Demographics
The data shown below were collected from the profiles of 38 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 | 18 | 47% |
| Australia | 1 | 3% |
| Netherlands | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Vietnam | 1 | 3% |
| Greece | 1 | 3% |
| Denmark | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 58% |
| Practitioners (doctors, other healthcare professionals) | 9 | 24% |
| Scientists | 6 | 16% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 9% |
| Other | 6 | 8% |
| Student > Master | 6 | 8% |
| Researcher | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 39 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 7 | 9% |
| Medicine and Dentistry | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 11 | 14% |
| Unknown | 40 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 31 December 2024.
All research outputs
#1,806,931
of 34,189,040 outputs
Outputs from BMJ Open
#2,987
of 29,533 outputs
Outputs of similar age
#38,335
of 567,956 outputs
Outputs of similar age from BMJ Open
#71
of 765 outputs
Altmetric has tracked 34,189,040 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one has done well, scoring higher than 89% 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 567,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 765 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 90% of its contemporaries.