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Differentials in death count records by databases in Brazil in 2010

Overview of attention for article published in Revista de Saúde Pública, October 2022
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Title
Differentials in death count records by databases in Brazil in 2010
Published in
Revista de Saúde Pública, October 2022
DOI 10.11606/s1518-8787.2022056004282
Pubmed ID
Authors

Victor Hugo Dias Diógenes, Elzo Pereira Pinto, Marcos Roberto Gonzaga, Bernardo Lanza Queiroz, Everton E. C. Lima, Lilia Carolina C. da Costa, Aline S. Rocha, Andrêa J. F. Ferreira, Camila S. S. Teixeira, Flávia Jôse O Alves, Leila Rameh, Renzo Flores-Ortiz, Alastair Leyland, Ruth Dundas, Maurício L. Barreto, Maria Yury Travassos Ichihara

Abstract

To compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count. This is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP - Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM - Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps. Confirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country. The results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire.

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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 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 > Ph. D. Student 2 14%
Student > Master 2 14%
Student > Doctoral Student 2 14%
Researcher 1 7%
Unknown 7 50%
Readers by discipline Count As %
Medicine and Dentistry 2 14%
Nursing and Health Professions 2 14%
Unspecified 1 7%
Social Sciences 1 7%
Economics, Econometrics and Finance 1 7%
Other 0 0%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 November 2022.
All research outputs
#6,285,280
of 25,416,581 outputs
Outputs from Revista de Saúde Pública
#178
of 1,139 outputs
Outputs of similar age
#111,546
of 441,097 outputs
Outputs of similar age from Revista de Saúde Pública
#3
of 16 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 441,097 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 74% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.