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A Microsoft-Excel-based tool for running and critically appraising network meta-analyses—an overview and application of NetMetaXL

Overview of attention for article published in Systematic Reviews, September 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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32 X users
googleplus
1 Google+ user

Citations

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173 Dimensions

Readers on

mendeley
161 Mendeley
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Title
A Microsoft-Excel-based tool for running and critically appraising network meta-analyses—an overview and application of NetMetaXL
Published in
Systematic Reviews, September 2014
DOI 10.1186/2046-4053-3-110
Pubmed ID
Authors

Stephen Brown, Brian Hutton, Tammy Clifford, Doug Coyle, Daniel Grima, George Wells, Chris Cameron

Abstract

The use of network meta-analysis has increased dramatically in recent years. WinBUGS, a freely available Bayesian software package, has been the most widely used software package to conduct network meta-analyses. However, the learning curve for WinBUGS can be daunting, especially for new users. Furthermore, critical appraisal of network meta-analyses conducted in WinBUGS can be challenging given its limited data manipulation capabilities and the fact that generation of graphical output from network meta-analyses often relies on different software packages than the analyses themselves.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Canada 2 1%
Israel 1 <1%
Japan 1 <1%
Unknown 155 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 14%
Researcher 17 11%
Student > Bachelor 16 10%
Student > Master 14 9%
Other 13 8%
Other 42 26%
Unknown 37 23%
Readers by discipline Count As %
Medicine and Dentistry 63 39%
Nursing and Health Professions 12 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Computer Science 6 4%
Agricultural and Biological Sciences 4 2%
Other 23 14%
Unknown 46 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 07 May 2015.
All research outputs
#1,741,637
of 25,517,918 outputs
Outputs from Systematic Reviews
#276
of 2,238 outputs
Outputs of similar age
#18,838
of 264,445 outputs
Outputs of similar age from Systematic Reviews
#7
of 38 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 87% 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 264,445 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 92% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.