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Teaching meta-analysis using MetaLight

Overview of attention for article published in BMC Research Notes, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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5 X users
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1 Facebook page

Citations

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7 Dimensions

Readers on

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27 Mendeley
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1 CiteULike
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Title
Teaching meta-analysis using MetaLight
Published in
BMC Research Notes, October 2012
DOI 10.1186/1756-0500-5-571
Pubmed ID
Authors

James Thomas, Sergio Graziosi, Steve Higgins, Robert Coe, Carole Torgerson, Mark Newman

Abstract

Meta-analysis is a statistical method for combining the results of primary studies. It is often used in systematic reviews and is increasingly a method and topic that appears in student dissertations. MetaLight is a freely available software application that runs simple meta-analyses and contains specific functionality to facilitate the teaching and learning of meta-analysis. While there are many courses and resources for meta-analysis available and numerous software applications to run meta-analyses, there are few pieces of software which are aimed specifically at helping those teaching and learning meta-analysis. Valuable teaching time can be spent learning the mechanics of a new software application, rather than on the principles and practices of meta-analysis. We discuss ways in which the MetaLight tool can be used to present some of the main issues involved in undertaking and interpreting a meta-analysis. While there are many software tools available for conducting meta-analysis, in the context of a teaching programme such software can require expenditure both in terms of money and in terms of the time it takes to learn how to use it. MetaLight was developed specifically as a tool to facilitate the teaching and learning of meta-analysis and we have presented here some of the ways it might be used in a training situation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 4%
Netherlands 1 4%
Italy 1 4%
India 1 4%
United States 1 4%
Unknown 22 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Researcher 7 26%
Professor 6 22%
Student > Master 2 7%
Professor > Associate Professor 2 7%
Other 0 0%
Unknown 2 7%
Readers by discipline Count As %
Psychology 5 19%
Medicine and Dentistry 4 15%
Social Sciences 3 11%
Computer Science 3 11%
Agricultural and Biological Sciences 2 7%
Other 7 26%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2015.
All research outputs
#6,755,380
of 22,685,926 outputs
Outputs from BMC Research Notes
#1,059
of 4,254 outputs
Outputs of similar age
#50,488
of 175,895 outputs
Outputs of similar age from BMC Research Notes
#23
of 84 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 74% 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 175,895 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 84 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 72% of its contemporaries.