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O risco de parcerias público-privadas em saúde pública pode ser classificado?

Overview of attention for article published in Cadernos de Saúde Pública, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 1,854)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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4 news outlets
twitter
1 X user

Citations

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6 Dimensions

Readers on

mendeley
56 Mendeley
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Title
O risco de parcerias público-privadas em saúde pública pode ser classificado?
Published in
Cadernos de Saúde Pública, October 2017
DOI 10.1590/0102-311x00086316
Pubmed ID
Authors

Vera Luiza da Costa e Silva, Silvana Rubano Barretto Turci, Ana Paula Natividade de Oliveira, Ana Paula Richter

Abstract

In the coming years, public-private partnerships (PPPs) should play an increasingly relevant role as an important alternative for financing projects and infrastructure in public services. However, especially in public health, PPPs are not always a good alternative, since they may introduce distortions in the agenda that sets health needs, favoring companies' interests. Public agencies can benefit from collaboration with the private sector in areas where there is a lack of specialization, such as the development of research and technologies. Even in these cases, each institution's role needs to be defined in order to avoid conflicts of interest. This can be challenging when dealing with the formulation of public and regulatory policies, on the impacts of certain policies, especially in developing countries. To engage with the private sector without compromising the integrity of government actions requires a broad discussion by public health stakeholders, for clear reasons of conflicting visions and scopes between corporations and public health. Combined with this is the need for multi-sector approaches, with a high load of financial investments in the various dimensions of policies to control the most prevalent diseases, especially chronic non-communicable diseases (NCD). This article classifies PPPs in categories in order to minimize the potential risks of conflicts of interest than can impact public health. These categories are defined as possible, possible with caveats, and impossible for involvement with certain institutions.

X Demographics

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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Ph. D. Student 6 11%
Student > Bachelor 5 9%
Researcher 5 9%
Student > Doctoral Student 3 5%
Other 4 7%
Unknown 23 41%
Readers by discipline Count As %
Social Sciences 6 11%
Medicine and Dentistry 6 11%
Business, Management and Accounting 5 9%
Nursing and Health Professions 4 7%
Immunology and Microbiology 2 4%
Other 8 14%
Unknown 25 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 29 October 2020.
All research outputs
#1,220,997
of 25,382,440 outputs
Outputs from Cadernos de Saúde Pública
#25
of 1,854 outputs
Outputs of similar age
#24,899
of 336,759 outputs
Outputs of similar age from Cadernos de Saúde Pública
#1
of 35 outputs
Altmetric has tracked 25,382,440 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 1,854 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 336,759 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 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.