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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accounting for centre-effects in multicentre trials with a binary outcome – when, why, and how?
|
|---|---|
| Published in |
BMC Medical Research Methodology, February 2014
|
| DOI | 10.1186/1471-2288-14-20 |
| Pubmed ID | |
| Authors |
Brennan C Kahan |
| Abstract |
It is often desirable to account for centre-effects in the analysis of multicentre randomised trials, however it is unclear which analysis methods are best in trials with a binary outcome. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 91 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 24% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 12 | 13% |
| Professor | 7 | 7% |
| Student > Postgraduate | 6 | 6% |
| Other | 23 | 24% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 41% |
| Mathematics | 10 | 10% |
| Nursing and Health Professions | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Psychology | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 19 | 20% |
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 04 August 2020.
All research outputs
#6,721,239
of 22,757,090 outputs
Outputs from BMC Medical Research Methodology
#994
of 2,008 outputs
Outputs of similar age
#82,282
of 311,687 outputs
Outputs of similar age from BMC Medical Research Methodology
#18
of 33 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 50% 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 311,687 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 33 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.