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The Primary Care Spend Model: a systems approach to measuring investment in primary care

Overview of attention for article published in BMJ Global Health Journal, July 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
twitter
36 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
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Title
The Primary Care Spend Model: a systems approach to measuring investment in primary care
Published in
BMJ Global Health Journal, July 2019
DOI 10.1136/bmjgh-2019-001601
Pubmed ID
Authors

Robert Baillieu, Michael Kidd, Robert Phillips, Martin Roland, Michael Mueller, David Morgan, Bruce Landon, Jennifer DeVoe, Viviana Martinez-Bianchi, Hong Wang, Rebecca Etz, Chris Koller, Neha Sachdev, Hannah Jackson, Yalda Jabbarpour, Andrew Bazemore

Twitter Demographics

The data shown below were collected from the profiles of 36 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Bachelor 2 14%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Researcher 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 2 14%
Nursing and Health Professions 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Economics, Econometrics and Finance 1 7%
Other 3 21%
Unknown 5 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 30 September 2020.
All research outputs
#703,651
of 15,980,372 outputs
Outputs from BMJ Global Health Journal
#313
of 1,288 outputs
Outputs of similar age
#15,919
of 210,404 outputs
Outputs of similar age from BMJ Global Health Journal
#17
of 77 outputs
Altmetric has tracked 15,980,372 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,288 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.4. This one has done well, scoring higher than 75% 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 210,404 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 92% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.