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Which is more generalizable, powerful and interpretable in meta-analyses, mean difference or standardized mean difference?

Overview of attention for article published in BMC Medical Research Methodology, February 2014
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3 X users

Citations

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254 Dimensions

Readers on

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172 Mendeley
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1 CiteULike
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Title
Which is more generalizable, powerful and interpretable in meta-analyses, mean difference or standardized mean difference?
Published in
BMC Medical Research Methodology, February 2014
DOI 10.1186/1471-2288-14-30
Pubmed ID
Authors

Nozomi Takeshima, Takashi Sozu, Aran Tajika, Yusuke Ogawa, Yu Hayasaka, Toshiaki A Furukawa

Abstract

To examine empirically whether the mean difference (MD) or the standardised mean difference (SMD) is more generalizable and statistically powerful in meta-analyses of continuous outcomes when the same unit is used.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Macao 1 <1%
United States 1 <1%
Peru 1 <1%
Canada 1 <1%
Unknown 168 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 15%
Researcher 25 15%
Student > Master 21 12%
Student > Bachelor 18 10%
Student > Doctoral Student 13 8%
Other 32 19%
Unknown 38 22%
Readers by discipline Count As %
Medicine and Dentistry 46 27%
Nursing and Health Professions 21 12%
Agricultural and Biological Sciences 12 7%
Biochemistry, Genetics and Molecular Biology 8 5%
Psychology 8 5%
Other 30 17%
Unknown 47 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 March 2014.
All research outputs
#14,190,698
of 22,745,803 outputs
Outputs from BMC Medical Research Methodology
#1,376
of 2,005 outputs
Outputs of similar age
#120,949
of 224,442 outputs
Outputs of similar age from BMC Medical Research Methodology
#25
of 33 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 224,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.