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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Global collaborative networks on meta-analyses of randomized trials published in high impact factor medical journals: a social network analysis
|
|---|---|
| Published in |
BMC Medicine, January 2014
|
| DOI | 10.1186/1741-7015-12-15 |
| Pubmed ID | |
| Authors |
Ferrán Catalá-López, Adolfo Alonso-Arroyo, Brian Hutton, Rafael Aleixandre-Benavent, David Moher |
| Abstract |
Research collaboration contributes to the advancement of knowledge by exploiting the results of scientific efforts more efficiently, but the global patterns of collaboration on meta-analysis are unknown. The purpose of this research was to describe and characterize the global collaborative patterns in meta-analyses of randomized trials published in high impact factor medical journals over the past three decades. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 5 | 25% |
| Canada | 2 | 10% |
| Spain | 1 | 5% |
| Australia | 1 | 5% |
| South Africa | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 65% |
| Scientists | 4 | 20% |
| Practitioners (doctors, other healthcare professionals) | 3 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| India | 1 | 2% |
| Unknown | 61 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Researcher | 10 | 16% |
| Other | 8 | 13% |
| Student > Master | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 17 | 27% |
| Medicine and Dentistry | 12 | 19% |
| Nursing and Health Professions | 4 | 6% |
| Computer Science | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 14 | 22% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 27 February 2014.
All research outputs
#2,824,516
of 24,171,511 outputs
Outputs from BMC Medicine
#1,753
of 3,694 outputs
Outputs of similar age
#33,516
of 317,414 outputs
Outputs of similar age from BMC Medicine
#28
of 57 outputs
Altmetric has tracked 24,171,511 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.3. This one has gotten more attention than average, scoring higher than 52% 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 317,414 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 89% 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 gotten more attention than average, scoring higher than 52% of its contemporaries.