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Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis

Overview of attention for article published in BMC Research Notes, January 2012
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

policy
1 policy source
twitter
21 X users
peer_reviews
1 peer review site
facebook
1 Facebook page
q&a
3 Q&A threads

Citations

dimensions_citation
593 Dimensions

Readers on

mendeley
818 Mendeley
citeulike
2 CiteULike
Title
Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis
Published in
BMC Research Notes, January 2012
DOI 10.1186/1756-0500-5-52
Pubmed ID
Authors

Jeruza L Neyeloff, Sandra C Fuchs, Leila B Moreira

Abstract

Meta-analyses are necessary to synthesize data obtained from primary research, and in many situations reviews of observational studies are the only available alternative. General purpose statistical packages can meta-analyze data, but usually require external macros or coding. Commercial specialist software is available, but may be expensive and focused in a particular type of primary data. Most available softwares have limitations in dealing with descriptive data, and the graphical display of summary statistics such as incidence and prevalence is unsatisfactory. Analyses can be conducted using Microsoft Excel, but there was no previous guide available.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 818 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
Denmark 5 <1%
United Kingdom 5 <1%
Brazil 4 <1%
Canada 4 <1%
Australia 2 <1%
Spain 2 <1%
Japan 2 <1%
Netherlands 1 <1%
Other 7 <1%
Unknown 779 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 133 16%
Student > Master 114 14%
Student > Ph. D. Student 113 14%
Student > Bachelor 75 9%
Student > Doctoral Student 54 7%
Other 199 24%
Unknown 130 16%
Readers by discipline Count As %
Medicine and Dentistry 202 25%
Agricultural and Biological Sciences 88 11%
Psychology 60 7%
Social Sciences 34 4%
Biochemistry, Genetics and Molecular Biology 30 4%
Other 206 25%
Unknown 198 24%
Attention Score in Context

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 04 April 2023.
All research outputs
#1,572,167
of 24,649,404 outputs
Outputs from BMC Research Notes
#180
of 4,439 outputs
Outputs of similar age
#11,137
of 254,992 outputs
Outputs of similar age from BMC Research Notes
#2
of 78 outputs
Altmetric has tracked 24,649,404 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 4,439 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 95% 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 254,992 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 95% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.