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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Bayesian adaptive designs to improve phase III trials: a respiratory care example
|
|---|---|
| Published in |
BMC Medical Research Methodology, May 2019
|
| DOI | 10.1186/s12874-019-0739-3 |
| Pubmed ID | |
| Authors |
Elizabeth G. Ryan, Julie Bruce, Andrew J. Metcalfe, Nigel Stallard, Sarah E. Lamb, Kert Viele, Duncan Young, Simon Gates |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| Ireland | 1 | 8% |
| United States | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 58% |
| Members of the public | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 30% |
| Student > Bachelor | 7 | 11% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 20% |
| Mathematics | 9 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Unspecified | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 13 | 20% |
| Unknown | 21 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 May 2023.
All research outputs
#4,986,617
of 24,752,377 outputs
Outputs from BMC Medical Research Methodology
#784
of 2,202 outputs
Outputs of similar age
#94,997
of 357,143 outputs
Outputs of similar age from BMC Medical Research Methodology
#27
of 54 outputs
Altmetric has tracked 24,752,377 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 64% 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 357,143 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 73% of its contemporaries.
We're also able to compare this research output to 54 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 51% of its contemporaries.