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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
19 X users
googleplus
1 Google+ user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
65 Mendeley
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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 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 62 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 10 15%
Other 9 14%
Student > Master 4 6%
Student > Doctoral Student 4 6%
Other 13 20%
Unknown 9 14%
Readers by discipline Count As %
Social Sciences 18 28%
Medicine and Dentistry 12 18%
Nursing and Health Professions 4 6%
Computer Science 3 5%
Psychology 3 5%
Other 14 22%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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
#3,250,311
of 25,576,275 outputs
Outputs from BMC Medicine
#1,975
of 4,055 outputs
Outputs of similar age
#36,906
of 324,329 outputs
Outputs of similar age from BMC Medicine
#29
of 57 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,055 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. 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 324,329 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 88% 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 50% of its contemporaries.