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Utilising a collective case study system theory mixed methods approach: a rural health example

Overview of attention for article published in BMC Medical Research Methodology, July 2014
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Title
Utilising a collective case study system theory mixed methods approach: a rural health example
Published in
BMC Medical Research Methodology, July 2014
DOI 10.1186/1471-2288-14-94
Pubmed ID
Authors

Robyn Adams, Anne Jones, Sophie Lefmann, Lorraine Sheppard

Abstract

Insight into local health service provision in rural communities is limited in the literature. The dominant workforce focus in the rural health literature, while revealing issues of shortage of maldistribution, does not describe service provision in rural towns. Similarly aggregation of data tends to render local health service provision virtually invisible. This paper describes a methodology to explore specific aspects of rural health service provision with an initial focus on understanding rurality as it pertains to rural physiotherapy service provision.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
South Africa 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 12 20%
Student > Doctoral Student 8 13%
Researcher 4 7%
Other 4 7%
Other 9 15%
Unknown 9 15%
Readers by discipline Count As %
Social Sciences 14 23%
Nursing and Health Professions 9 15%
Medicine and Dentistry 8 13%
Business, Management and Accounting 5 8%
Computer Science 2 3%
Other 12 20%
Unknown 11 18%
Attention Score in Context

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 07 August 2014.
All research outputs
#18,375,478
of 22,759,618 outputs
Outputs from BMC Medical Research Methodology
#1,733
of 2,009 outputs
Outputs of similar age
#163,210
of 228,706 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 23 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,009 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 6th percentile – i.e., 6% 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 228,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.