You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models
|
|---|---|
| Published in |
BMC Medical Research Methodology, September 2014
|
| DOI | 10.1186/1471-2288-14-103 |
| Pubmed ID | |
| Authors |
Dan Jackson, Rebecca Turner, Kirsty Rhodes, Wolfgang Viechtbauer |
| Abstract |
Meta-regression is becoming increasingly used to model study level covariate effects. However this type of statistical analysis presents many difficulties and challenges. Here two methods for calculating confidence intervals for the magnitude of the residual between-study variance in random effects meta-regression models are developed. A further suggestion for calculating credible intervals using informative prior distributions for the residual between-study variance is presented. |
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 % |
|---|---|---|
| Australia | 1 | 20% |
| Venezuela, Bolivarian Republic of | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Macao | 1 | 1% |
| United States | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 78 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 21% |
| Researcher | 11 | 13% |
| Student > Master | 10 | 12% |
| Professor > Associate Professor | 5 | 6% |
| Other | 4 | 5% |
| Other | 18 | 22% |
| Unknown | 17 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 20% |
| Psychology | 11 | 13% |
| Mathematics | 9 | 11% |
| Agricultural and Biological Sciences | 3 | 4% |
| Computer Science | 2 | 2% |
| Other | 17 | 21% |
| Unknown | 24 | 29% |
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 08 October 2018.
All research outputs
#13,175,336
of 23,577,654 outputs
Outputs from BMC Medical Research Methodology
#1,202
of 2,081 outputs
Outputs of similar age
#107,048
of 240,373 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 17 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,081 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 41st percentile – i.e., 41% 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 240,373 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 55% of its contemporaries.
We're also able to compare this research output to 17 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 52% of its contemporaries.