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Is it possible to estimate the minimal clinically important treatment effect needed to change practice in preterm birth prevention? Results of an obstetrician survey used to support the design of a…

Overview of attention for article published in BMC Medical Research Methodology, March 2012
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1 tweeter
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1 Facebook page

Citations

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6 Dimensions

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30 Mendeley
Title
Is it possible to estimate the minimal clinically important treatment effect needed to change practice in preterm birth prevention? Results of an obstetrician survey used to support the design of a trial
Published in
BMC Medical Research Methodology, March 2012
DOI 10.1186/1471-2288-12-31
Pubmed ID
Authors

Sue Ross, Jill Milne, Shannon Dwinnell, Selphee Tang, Stephen Wood

Abstract

Sample sizes for obstetrical trials are often based on the opinion of investigators about clinically important effect size. We surveyed Canadian obstetricians to investigate clinically important effect sizes required before introducing new treatments into practice to prevent preterm birth.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 30%
Researcher 6 20%
Student > Doctoral Student 3 10%
Other 2 7%
Student > Ph. D. Student 2 7%
Other 3 10%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 15 50%
Agricultural and Biological Sciences 4 13%
Nursing and Health Professions 4 13%
Economics, Econometrics and Finance 2 7%
Social Sciences 1 3%
Other 1 3%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2012.
All research outputs
#9,508,613
of 12,373,180 outputs
Outputs from BMC Medical Research Methodology
#874
of 1,095 outputs
Outputs of similar age
#86,379
of 128,992 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 13 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 16th percentile – i.e., 16% 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 128,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.