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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2006
|
| DOI | 10.1186/1471-2288-6-18 |
| Pubmed ID | |
| Authors |
Rodney A Hayward, David M Kent, Sandeep Vijan, Timothy P Hofer |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| Vietnam | 1 | <1% |
| Unknown | 121 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 25% |
| Student > Ph. D. Student | 19 | 15% |
| Other | 13 | 10% |
| Student > Master | 13 | 10% |
| Professor > Associate Professor | 12 | 9% |
| Other | 26 | 20% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 61 | 48% |
| Mathematics | 8 | 6% |
| Social Sciences | 6 | 5% |
| Psychology | 5 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 24 | 19% |
| Unknown | 20 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 March 2024.
All research outputs
#14,801,719
of 25,402,889 outputs
Outputs from BMC Medical Research Methodology
#1,403
of 2,282 outputs
Outputs of similar age
#73,325
of 84,045 outputs
Outputs of similar age from BMC Medical Research Methodology
#7
of 10 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 84,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.