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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-regression models to address heterogeneity and inconsistency in network meta-analysis of survival outcomes
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2012
|
| DOI | 10.1186/1471-2288-12-152 |
| Pubmed ID | |
| Authors |
Jeroen P Jansen, Shannon Cope |
| Abstract |
Recently, network meta-analysis of survival data with a multidimensional treatment effect was introduced. With these models the hazard ratio is not assumed to be constant over time, thereby reducing the possibility of violating transitivity in indirect comparisons. However, bias is still present if there are systematic differences in treatment effect modifiers across comparisons. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 3% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 65 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 14 | 20% |
| Other | 10 | 14% |
| Student > Postgraduate | 6 | 9% |
| Professor > Associate Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 45% |
| Mathematics | 8 | 12% |
| Economics, Econometrics and Finance | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 11 | 16% |
| Unknown | 11 | 16% |
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 22 September 2021.
All research outputs
#6,453,990
of 22,925,760 outputs
Outputs from BMC Medical Research Methodology
#974
of 2,026 outputs
Outputs of similar age
#47,036
of 173,352 outputs
Outputs of similar age from BMC Medical Research Methodology
#7
of 28 outputs
Altmetric has tracked 22,925,760 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 2,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. 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 173,352 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 71% 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 done well, scoring higher than 78% of its contemporaries.