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Rapid virulence prediction and identification of Newcastle disease virus genotypes using third-generation sequencing

Overview of attention for article published in Virology Journal, November 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Rapid virulence prediction and identification of Newcastle disease virus genotypes using third-generation sequencing
Published in
Virology Journal, November 2018
DOI 10.1186/s12985-018-1077-5
Pubmed ID
Authors

Salman L. Butt, Tonya L. Taylor, Jeremy D. Volkening, Kiril M. Dimitrov, Dawn Williams-Coplin, Kevin K. Lahmers, Patti J. Miller, Asif M. Rana, David L. Suarez, Claudio L. Afonso, James B. Stanton

Twitter Demographics

The data shown below were collected from the profiles of 3 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 7 17%
Other 4 10%
Professor 3 7%
Student > Bachelor 3 7%
Other 9 21%
Unknown 4 10%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 11 26%
Biochemistry, Genetics and Molecular Biology 9 21%
Agricultural and Biological Sciences 7 17%
Immunology and Microbiology 3 7%
Arts and Humanities 2 5%
Other 3 7%
Unknown 7 17%

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 15 March 2019.
All research outputs
#10,249,790
of 16,639,069 outputs
Outputs from Virology Journal
#1,386
of 2,503 outputs
Outputs of similar age
#220,982
of 395,328 outputs
Outputs of similar age from Virology Journal
#73
of 193 outputs
Altmetric has tracked 16,639,069 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one is in the 39th percentile – i.e., 39% 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 395,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 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 52% of its contemporaries.