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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method
|
|---|---|
| Published in |
BMC Medical Research Methodology, February 2014
|
| DOI | 10.1186/1471-2288-14-25 |
| Pubmed ID | |
| Authors |
Joanna IntHout, John PA Ioannidis, George F Borm |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| Germany | 2 | 12% |
| United States | 2 | 12% |
| Australia | 1 | 6% |
| Canada | 1 | 6% |
| Austria | 1 | 6% |
| India | 1 | 6% |
| France | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Unknown | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 452 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| Germany | 2 | <1% |
| Netherlands | 2 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Greece | 1 | <1% |
| Unknown | 442 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 15% |
| Researcher | 68 | 15% |
| Student > Master | 47 | 10% |
| Student > Bachelor | 35 | 8% |
| Other | 29 | 6% |
| Other | 95 | 21% |
| Unknown | 109 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 100 | 22% |
| Psychology | 40 | 9% |
| Nursing and Health Professions | 21 | 5% |
| Agricultural and Biological Sciences | 21 | 5% |
| Mathematics | 19 | 4% |
| Other | 98 | 22% |
| Unknown | 153 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 13 April 2024.
All research outputs
#1,475,089
of 25,709,917 outputs
Outputs from BMC Medical Research Methodology
#169
of 2,310 outputs
Outputs of similar age
#14,469
of 239,556 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 32 outputs
Altmetric has tracked 25,709,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 92% 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 239,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.