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Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting

Overview of attention for article published in BMC Genomics, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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8 X users

Citations

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52 Dimensions

Readers on

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131 Mendeley
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Title
Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-991
Pubmed ID
Authors

João Perdigão, Hugo Silva, Diana Machado, Rita Macedo, Fernando Maltez, Carla Silva, Luisa Jordao, Isabel Couto, Kim Mallard, Francesc Coll, Grant A Hill-Cawthorne, Ruth McNerney, Arnab Pain, Taane G Clark, Miguel Viveiros, Isabel Portugal

Abstract

Multidrug- (MDR) and extensively drug resistant (XDR) tuberculosis (TB) presents a challenge to disease control and elimination goals. In Lisbon, Portugal, specific and successful XDR-TB strains have been found in circulation for almost two decades.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 <1%
Portugal 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 23%
Researcher 19 15%
Student > Ph. D. Student 19 15%
Student > Bachelor 8 6%
Student > Postgraduate 7 5%
Other 22 17%
Unknown 26 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 18%
Biochemistry, Genetics and Molecular Biology 23 18%
Medicine and Dentistry 20 15%
Immunology and Microbiology 9 7%
Computer Science 6 5%
Other 17 13%
Unknown 32 24%
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 09 August 2015.
All research outputs
#7,203,930
of 22,771,140 outputs
Outputs from BMC Genomics
#3,418
of 10,641 outputs
Outputs of similar age
#102,583
of 362,492 outputs
Outputs of similar age from BMC Genomics
#83
of 265 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 362,492 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 70% of its contemporaries.
We're also able to compare this research output to 265 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 67% of its contemporaries.