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A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes

Overview of attention for article published in PLoS Neglected Tropical Diseases, May 2019
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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35 X users
facebook
1 Facebook page

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
138 Mendeley
Title
A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes
Published in
PLoS Neglected Tropical Diseases, May 2019
DOI 10.1371/journal.pntd.0007231
Pubmed ID
Authors

Vagner Fonseca, Pieter J. K. Libin, Kristof Theys, Nuno R. Faria, Marcio R. T. Nunes, Maria I. Restovic, Murilo Freire, Marta Giovanetti, Lize Cuypers, Ann Nowé, Ana Abecasis, Koen Deforche, Gilberto A. Santiago, Isadora C. de Siqueira, Emmanuel J. San, Kaliane C. B. Machado, Vasco Azevedo, Ana Maria Bispo-de Filippis, Rivaldo Venâncio da Cunha, Oliver G. Pybus, Anne-Mieke Vandamme, Luiz C. J. Alcantara, Tulio de Oliveira

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 16%
Student > Master 18 13%
Student > Bachelor 18 13%
Student > Ph. D. Student 15 11%
Student > Doctoral Student 11 8%
Other 20 14%
Unknown 34 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 17%
Agricultural and Biological Sciences 19 14%
Medicine and Dentistry 13 9%
Immunology and Microbiology 8 6%
Computer Science 7 5%
Other 21 15%
Unknown 47 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 08 December 2019.
All research outputs
#1,690,649
of 25,385,509 outputs
Outputs from PLoS Neglected Tropical Diseases
#1,086
of 9,379 outputs
Outputs of similar age
#37,006
of 364,294 outputs
Outputs of similar age from PLoS Neglected Tropical Diseases
#22
of 178 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 88% 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 364,294 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 89% of its contemporaries.
We're also able to compare this research output to 178 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.