↓ Skip to main content

Possibility and Challenges of Conversion of Current Virus Species Names to Linnaean Binomials

Overview of attention for article published in Systematic Biology, October 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
15 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
56 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Possibility and Challenges of Conversion of Current Virus Species Names to Linnaean Binomials
Published in
Systematic Biology, October 2016
DOI 10.1093/sysbio/syw096
Pubmed ID
Authors

Thomas S Postler, Anna N Clawson, Gaya K Amarasinghe, Christopher F Basler, Sbina Bavari, Mária Benko, Kim R Blasdell, Thomas Briese, Michael J Buchmeier, Alexander Bukreyev, Charles H Calisher, Kartik Chandran, Rémi Charrel, Christopher S Clegg, Peter L Collins, De La Torre Juan Carlos, Joseph L Derisi, Ralf G Dietzgen, Olga Dolnik, Ralf Dürrwald, John M Dye, Andrew J Easton, Sébastian Emonet, Pierre Formenty, Ron A M Fouchier, Elodie Ghedin, Jean-Paul Gonzalez, Balázs Harrach, Roger Hewson, Masayuki Horie, Dàohóng Jiang, Gary Kobinger, Hideki Kondo, Andrew M Kropinski, Mart Krupovic, Gael Kurath, Robert A Lamb, Eric M Leroy, Igor S Lukashevich, Andrea Maisner, Arcady R Mushegian, Sergey V Netesov, Norbert Nowotny, Jean L Patterson, Susan L Payne, Janusz T PaWeska, Clarence J Peters, Sheli R Radoshitzky, Bertus K Rima, Victor Romanowski, Dennis Rubbenstroth, Sead Sabanadzovic, Hélène Sanfaçon, Maria S Salvato, Martin Schwemmle, Sophie J Smither, Mark D Stenglein, David M Stone, Ayato Takada, Robert B Tesh, Keizo Tomonaga, Noël Tordo, Jonathan S Towner, Nikos Vasilakis, Viktor E Volchkov, Victoria Wahl-Jensen, Peter J Walker, Lin-Fa Wang, Arvind Varsani, Anna E Whitfield, F Murilo Zerbini, Jens H Kuhn

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 27%
Student > Master 6 11%
Professor 6 11%
Student > Ph. D. Student 5 9%
Professor > Associate Professor 4 7%
Other 10 18%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 21%
Biochemistry, Genetics and Molecular Biology 11 20%
Immunology and Microbiology 6 11%
Veterinary Science and Veterinary Medicine 4 7%
Medicine and Dentistry 2 4%
Other 6 11%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 11 May 2017.
All research outputs
#4,674,076
of 26,017,215 outputs
Outputs from Systematic Biology
#675
of 1,953 outputs
Outputs of similar age
#70,308
of 327,495 outputs
Outputs of similar age from Systematic Biology
#16
of 29 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,953 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 64% 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 327,495 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 78% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.