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Global collaborative networks on meta-analyses of randomized trials published in high impact factor medical journals: a social network analysis

Overview of attention for article published in BMC Medicine, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
20 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
1 CiteULike
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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.

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
India 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 8 14%
Other 7 13%
Student > Doctoral Student 4 7%
Professor > Associate Professor 3 5%
Other 13 23%
Unknown 7 13%
Readers by discipline Count As %
Social Sciences 15 27%
Medicine and Dentistry 14 25%
Psychology 3 5%
Computer Science 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 10 18%
Unknown 9 16%

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
#1,763,280
of 16,275,395 outputs
Outputs from BMC Medicine
#1,248
of 2,566 outputs
Outputs of similar age
#27,856
of 259,738 outputs
Outputs of similar age from BMC Medicine
#3
of 10 outputs
Altmetric has tracked 16,275,395 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,566 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.1. This one has gotten more attention than average, scoring higher than 51% 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 259,738 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.