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When is enough, enough? Understanding and solving your sample size problems in health services research

Overview of attention for article published in BMC Research Notes, February 2016
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Mentioned by

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2 tweeters

Citations

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6 Dimensions

Readers on

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55 Mendeley
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Title
When is enough, enough? Understanding and solving your sample size problems in health services research
Published in
BMC Research Notes, February 2016
DOI 10.1186/s13104-016-1893-x
Pubmed ID
Authors

Victoria Pye, Natalie Taylor, Robyn Clay-Williams, Jeffrey Braithwaite

Abstract

Health services researchers face two obstacles to sample size calculation: inaccessible, highly specialised or overly technical literature, and difficulty securing methodologists during the planning stages of research. The purpose of this article is to provide pragmatic sample size calculation guidance for researchers who are designing a health services study. We aimed to create a simplified and generalizable process for sample size calculation, by (1) summarising key factors and considerations in determining a sample size, (2) developing practical steps for researchers-illustrated by a case study and, (3) providing a list of resources to steer researchers to the next stage of their calculations. Health services researchers can use this guidance to improve their understanding of sample size calculation, and implement these steps in their research practice.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Italy 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Master 8 15%
Lecturer 7 13%
Researcher 7 13%
Student > Bachelor 6 11%
Other 12 22%
Unknown 7 13%
Readers by discipline Count As %
Medicine and Dentistry 12 22%
Nursing and Health Professions 8 15%
Sports and Recreations 5 9%
Social Sciences 3 5%
Computer Science 2 4%
Other 9 16%
Unknown 16 29%

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 20 March 2016.
All research outputs
#9,199,060
of 14,616,972 outputs
Outputs from BMC Research Notes
#1,673
of 3,319 outputs
Outputs of similar age
#145,713
of 265,066 outputs
Outputs of similar age from BMC Research Notes
#1
of 2 outputs
Altmetric has tracked 14,616,972 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,319 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 37th percentile – i.e., 37% 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 265,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
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