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Economies of scale and scope in publicly funded biomedical and health research: evidence from the literature

Overview of attention for article published in Health Research Policy and Systems, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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1 news outlet
policy
1 policy source
twitter
7 X users

Citations

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17 Dimensions

Readers on

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46 Mendeley
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Title
Economies of scale and scope in publicly funded biomedical and health research: evidence from the literature
Published in
Health Research Policy and Systems, February 2017
DOI 10.1186/s12961-016-0167-3
Pubmed ID
Authors

Karla Hernandez-Villafuerte, Jon Sussex, Enora Robin, Sue Guthrie, Steve Wooding

Abstract

Publicly funded biomedical and health research is expected to achieve the best return possible for taxpayers and for society generally. It is therefore important to know whether such research is more productive if concentrated into a small number of 'research groups' or dispersed across many. We undertook a systematic rapid evidence assessment focused on the research question: do economies of scale and scope exist in biomedical and health research? In other words, is that research more productive per unit of cost if more of it, or a wider variety of it, is done in one location? We reviewed English language literature without date restriction to the end of 2014. To help us to classify and understand that literature, we first undertook a review of econometric literature discussing models for analysing economies of scale and/or scope in research generally (not limited to biomedical and health research). We found a large and disparate literature. We reviewed 60 empirical studies of (dis-)economies of scale and/or scope in biomedical and health research, or in categories of research including or overlapping with biomedical and health research. This literature is varied in methods and findings. At the level of universities or research institutes, studies more often point to positive economies of scale than to diseconomies of scale or constant returns to scale in biomedical and health research. However, all three findings exist in the literature, along with inverse U-shaped relationships. At the level of individual research units, laboratories or projects, the numbers of studies are smaller and evidence is mixed. Concerning economies of scope, the literature more often suggests positive economies of scope than diseconomies, but the picture is again mixed. The effect of varying the scope of activities by a research group was less often reported than the effect of scale and the results were more mixed. The absence of predominant findings for or against the existence of economies of scale or scope implies a continuing need for case by case decisions when distributing research funding, rather than a general policy either to concentrate funding in a few centres or to disperse it across many.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 9 20%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 7%
Lecturer 1 2%
Other 4 9%
Unknown 16 35%
Readers by discipline Count As %
Social Sciences 10 22%
Medicine and Dentistry 5 11%
Business, Management and Accounting 4 9%
Economics, Econometrics and Finance 4 9%
Nursing and Health Professions 2 4%
Other 3 7%
Unknown 18 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 08 October 2021.
All research outputs
#2,003,627
of 23,314,015 outputs
Outputs from Health Research Policy and Systems
#275
of 1,232 outputs
Outputs of similar age
#44,581
of 422,006 outputs
Outputs of similar age from Health Research Policy and Systems
#8
of 23 outputs
Altmetric has tracked 23,314,015 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 1,232 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done well, scoring higher than 77% 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 422,006 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
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 has gotten more attention than average, scoring higher than 69% of its contemporaries.