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Using data from patient interactions in primary care for population level chronic disease surveillance: The Sentinel Practices Data Sourcing (SPDS) project

Overview of attention for article published in BMC Public Health, June 2014
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
121 Mendeley
citeulike
1 CiteULike
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Title
Using data from patient interactions in primary care for population level chronic disease surveillance: The Sentinel Practices Data Sourcing (SPDS) project
Published in
BMC Public Health, June 2014
DOI 10.1186/1471-2458-14-557
Pubmed ID
Authors

Abhijeet Ghosh, Karen E Charlton, Lisa Girdo, Marijka Batterham

Abstract

Population health planning within a health district requires current information on health profiles of the target population. Information obtained during primary care interactions may provide a valuable surveillance system for chronic disease burden. The Sentinel Practices Data Sourcing project aimed to establish a sentinel site surveillance system to obtain a region-specific estimate of the prevalence of chronic diseases and mental health disorders within the Illawarra-Shoalhaven region of New South Wales, Australia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 14%
Student > Bachelor 16 13%
Student > Master 12 10%
Student > Ph. D. Student 11 9%
Other 6 5%
Other 25 21%
Unknown 34 28%
Readers by discipline Count As %
Medicine and Dentistry 37 31%
Nursing and Health Professions 16 13%
Social Sciences 11 9%
Psychology 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 14 12%
Unknown 35 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 17 August 2018.
All research outputs
#1,981,118
of 23,940,793 outputs
Outputs from BMC Public Health
#2,217
of 15,743 outputs
Outputs of similar age
#20,135
of 231,505 outputs
Outputs of similar age from BMC Public Health
#44
of 285 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 85% 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 231,505 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 91% of its contemporaries.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.