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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hierarchical network meta-analysis models for synthesis of evidence from randomised and non-randomised studies
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2023
|
| DOI | 10.1186/s12874-023-01925-5 |
| Pubmed ID | |
| Authors |
Humaira Hussein, Keith R. Abrams, Laura J. Gray, Sumayya Anwer, Sofia Dias, Sylwia Bujkiewicz |
X Demographics
The data shown below were collected from the profiles of 14 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 | 9 | 64% |
| Norway | 1 | 7% |
| Italy | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 64% |
| Members of the public | 5 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Researcher | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Mathematics | 1 | 13% |
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 05 September 2023.
All research outputs
#3,483,664
of 25,130,202 outputs
Outputs from BMC Medical Research Methodology
#530
of 2,243 outputs
Outputs of similar age
#64,094
of 399,892 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 57 outputs
Altmetric has tracked 25,130,202 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 76% 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 399,892 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.