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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 (93rd percentile)

Mentioned by

twitter
35 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
149 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.

Twitter Demographics

The data shown below were collected from the profiles of 35 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 1%
United Kingdom 2 1%
Israel 1 <1%
Japan 1 <1%
Unknown 143 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 15%
Student > Bachelor 19 13%
Researcher 17 11%
Student > Master 14 9%
Professor > Associate Professor 12 8%
Other 36 24%
Unknown 28 19%
Readers by discipline Count As %
Medicine and Dentistry 63 42%
Nursing and Health Professions 16 11%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Computer Science 5 3%
Agricultural and Biological Sciences 4 3%
Other 18 12%
Unknown 36 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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
#925,960
of 15,927,389 outputs
Outputs from Systematic Reviews
#168
of 1,415 outputs
Outputs of similar age
#14,145
of 212,461 outputs
Outputs of similar age from Systematic Reviews
#1
of 2 outputs
Altmetric has tracked 15,927,389 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 1,415 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 88% 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 212,461 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them