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Correction of vital statistics based on a proactive search of deaths and live births: evidence from a study of the North and Northeast regions of Brazil

Overview of attention for article published in Population Health Metrics, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

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37 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Correction of vital statistics based on a proactive search of deaths and live births: evidence from a study of the North and Northeast regions of Brazil
Published in
Population Health Metrics, June 2014
DOI 10.1186/1478-7954-12-16
Pubmed ID
Authors

Célia Landmann Szwarcwald, Paulo Germano de Frias, Paulo Roberto Borges deSouza Júnior, Wanessa da Silva de Almeida, Otaliba Libânio de Morais Neto

Abstract

In the last 20 years, Brazil has undergone dramatic changes in terms of socioeconomic development and health care. In the first decade of the 2000s, the Ministry of Health (MoH) developed a series of programs focused on reducing infant mortality, including the Family Health Program as a national policy for primary care. In this paper, we propose a method to correct underreporting of deaths and live births. After vital statistics are corrected, infant mortality trends are analyzed for the period 2000-2010 by macro-geographical region.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Rwanda 1 2%
India 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Master 8 13%
Student > Bachelor 5 8%
Student > Postgraduate 5 8%
Student > Ph. D. Student 5 8%
Other 13 21%
Unknown 11 18%
Readers by discipline Count As %
Social Sciences 14 23%
Medicine and Dentistry 13 21%
Nursing and Health Professions 5 8%
Agricultural and Biological Sciences 3 5%
Computer Science 2 3%
Other 10 16%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 April 2021.
All research outputs
#6,951,609
of 24,233,945 outputs
Outputs from Population Health Metrics
#190
of 401 outputs
Outputs of similar age
#63,073
of 232,329 outputs
Outputs of similar age from Population Health Metrics
#3
of 4 outputs
Altmetric has tracked 24,233,945 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has gotten more attention than average, scoring higher than 50% 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 232,329 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.