↓ Skip to main content

A complex scenario of tuberculosis transmission is revealed through genetic and epidemiological surveys in Porto

Overview of attention for article published in BMC Infectious Diseases, January 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

policy
1 policy source
twitter
13 X users
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
41 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A complex scenario of tuberculosis transmission is revealed through genetic and epidemiological surveys in Porto
Published in
BMC Infectious Diseases, January 2018
DOI 10.1186/s12879-018-2968-1
Pubmed ID
Authors

Teresa Rito, Carlos Matos, Carlos Carvalho, Henrique Machado, Gabriela Rodrigues, Olena Oliveira, Eduarda Ferreira, Jorge Gonçalves, Lurdes Maio, Clara Morais, Helena Ramos, João Tiago Guimarães, Catarina L. Santos, Raquel Duarte, Margarida Correia-Neves

Abstract

Tuberculosis (TB) incidence is decreasing worldwide and eradication is becoming plausible. In low-incidence countries, intervention on migrant populations is considered one of the most important strategies for elimination. However, such measures are inappropriate in European areas where TB is largely endemic, such as Porto in Portugal. We aim to understand transmission chains in Porto through a genetic characterization of Mycobacterium tuberculosis strains and through a detailed epidemiological evaluation of cases. We genotyped the M. tuberculosis strains using the MIRU-VNTR system. We performed an evolutionary reconstruction of the genotypes with median networks, used in this context for the first time. TB cases from a period of two years were evaluated combining genetic, epidemiological and georeferencing information. The data reveal a unique complex scenario in Porto where the autochthonous population acts as a genetic reservoir of M. tuberculosis diversity with discreet episodes of transmission, mostly undetected using classical epidemiology alone. Although control policies have been successful in decreasing incidence in Porto, the discerned complexity suggests that, for elimination to be a realistic goal, strategies need to be adjusted and coupled with a continuous genetic characterization of strains and detailed epidemiological evaluation, in order to successfully identify and interrupt transmission chains.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Student > Master 4 10%
Researcher 4 10%
Lecturer 3 7%
Student > Doctoral Student 3 7%
Other 5 12%
Unknown 17 41%
Readers by discipline Count As %
Immunology and Microbiology 6 15%
Biochemistry, Genetics and Molecular Biology 5 12%
Medicine and Dentistry 4 10%
Social Sciences 3 7%
Nursing and Health Professions 2 5%
Other 3 7%
Unknown 18 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 March 2019.
All research outputs
#3,580,360
of 25,342,911 outputs
Outputs from BMC Infectious Diseases
#1,248
of 8,547 outputs
Outputs of similar age
#76,934
of 454,428 outputs
Outputs of similar age from BMC Infectious Diseases
#24
of 163 outputs
Altmetric has tracked 25,342,911 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,547 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 85% 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 454,428 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 83% of its contemporaries.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.