↓ Skip to main content

Molecular Characterization of Autochthonous Chikungunya Cluster in Latium Region, Italy

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

About this Attention Score

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

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
32 Mendeley
Title
Molecular Characterization of Autochthonous Chikungunya Cluster in Latium Region, Italy
Published in
Emerging Infectious Diseases, January 2018
DOI 10.3201/eid2401.171605
Pubmed ID
Authors

Licia Bordi, Fabrizio Carletti, Eleonora Lalle, Francesca Colavita, Silvia Meschi, Antonino Di Caro, Emanuele Nicastri, Paola Scognamiglio, Francesco Vairo, Domenico Di Lallo, Vincenzo Panella, Maria R. Capobianchi, Giuseppe Ippolito, Concetta Castilletti

Abstract

We report partial molecular characterization of isolates from an autochthonous chikungunya virus cluster in Latium Region. E1 sequences from 3 patients differ substantially from sequences from the 2007 outbreak in Italy and lack the A226V substitution associated with increased viral fitness in the Aedes albopictus mosquito vector.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Doctoral Student 6 19%
Student > Master 6 19%
Student > Ph. D. Student 2 6%
Other 2 6%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 22%
Environmental Science 5 16%
Biochemistry, Genetics and Molecular Biology 4 13%
Immunology and Microbiology 3 9%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 8 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 July 2018.
All research outputs
#12,272,742
of 21,175,128 outputs
Outputs from Emerging Infectious Diseases
#6,469
of 8,676 outputs
Outputs of similar age
#160,502
of 340,524 outputs
Outputs of similar age from Emerging Infectious Diseases
#112
of 151 outputs
Altmetric has tracked 21,175,128 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 8,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.2. This one is in the 24th percentile – i.e., 24% 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 340,524 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 151 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.