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Modelling the Force of Infection for Hepatitis A in an Urban Population-Based Survey: A Comparison of Transmission Patterns in Brazilian Macro-Regions

Overview of attention for article published in PLOS ONE, May 2014
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Citations

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Title
Modelling the Force of Infection for Hepatitis A in an Urban Population-Based Survey: A Comparison of Transmission Patterns in Brazilian Macro-Regions
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0094622
Pubmed ID
Authors

Ricardo Arraes de Alencar Ximenes, Celina Maria Turchi Martelli, Marcos Amaku, Ana Marli C. Sartori, Patricia Coelho de Soárez, Hillegonda Maria Dutilh Novaes, Leila Maria Moreira Beltrão Pereira, Regina Célia Moreira, Gerusa Maria Figueiredo, Raymundo Soares de Azevedo

Abstract

This study aimed to identify the transmission pattern of hepatitis A (HA) infection based on a primary dataset from the Brazilian National Hepatitis Survey in a pre-vaccination context. The national survey conducted in urban areas disclosed two epidemiological scenarios with low and intermediate HA endemicity.

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

Geographical breakdown

Country Count As %
Brazil 2 4%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Ph. D. Student 7 15%
Researcher 5 11%
Professor 5 11%
Student > Bachelor 5 11%
Other 12 26%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 20 43%
Mathematics 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Immunology and Microbiology 3 6%
Social Sciences 3 6%
Other 6 13%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 February 2015.
All research outputs
#20,259,845
of 22,789,566 outputs
Outputs from PLOS ONE
#173,630
of 194,532 outputs
Outputs of similar age
#191,969
of 226,335 outputs
Outputs of similar age from PLOS ONE
#3,984
of 4,635 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,532 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 226,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,635 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.