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Genetic diversity assessment of Tunisian Mycobacterium bovis population isolated from cattle

Overview of attention for article published in BMC Veterinary Research, December 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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4 tweeters
facebook
1 Facebook page

Citations

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5 Dimensions

Readers on

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33 Mendeley
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Title
Genetic diversity assessment of Tunisian Mycobacterium bovis population isolated from cattle
Published in
BMC Veterinary Research, December 2017
DOI 10.1186/s12917-017-1314-y
Pubmed ID
Authors

Saif Eddine Djemal, Mariam Siala, Salma Smaoui, Sana Kammoun, Chema Marouane, Javier Bezos, Feriele Messadi-Akrout, Beatriz Romero, Radhouane Gdoura

Abstract

The genetic diversity of M. bovis in Tunisia is still underestimated despite the implementation of an eradication program. The lack of data about spatial distribution of the M. bovis population hinders the control of bovine tuberculosis (bTB) progress. This study represents the largest molecular analysis of M. bovis isolates in Tunisia. It is aimed to upgrade the understanding of bTB epidemiology and the geographical distribution of the infection. Tuberculosis research was performed in cattle (n = 149) with TB-compatible lesions collected over 5 months from a slaughterhouse located in Sfax, Tunisia. Ninety-four animals were found to be infected by M. bovis and two others by M. caprae. Spoligotyping revealed twenty-five patterns, SB0120, SB0134, and SB0121 being the most prevalent profiles (36.4%, 11.4%, and 7.2%, respectively). Three new spoligotypes were detected: SB2345, SB2344 and SB2343. MIRU-VNTR analysis classified the isolates in seventy-three profiles and showed a large genotypic variety observed within the main spoligotype which was split into several MIRU-VNTR types: 29 in SB0120 (h = 0.983), 10 in SB0134 (h = 0.981) and 7 in SB0121 (h = 1). Genotyping revealed a common pattern in different geographic regions. It also showed that Sfax, located in southern-Tunisia, represents a high-risk area with an elevated genetic diversity. Spatial analysis may provide insights into disease transmission, which affects the effectiveness of eradication campaigns in cattle.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Student > Ph. D. Student 5 15%
Student > Master 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 2 6%
Other 4 12%
Unknown 10 30%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 11 33%
Biochemistry, Genetics and Molecular Biology 5 15%
Medicine and Dentistry 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 9%
Unknown 10 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 December 2017.
All research outputs
#9,135,106
of 15,915,455 outputs
Outputs from BMC Veterinary Research
#754
of 2,344 outputs
Outputs of similar age
#192,960
of 409,055 outputs
Outputs of similar age from BMC Veterinary Research
#80
of 218 outputs
Altmetric has tracked 15,915,455 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,344 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 65% 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 409,055 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 51% of its contemporaries.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.