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A Bimolecular Multicellular Complementation System for the Detection of Syncytium Formation: A New Methodology for the Identification of Nipah Virus Entry Inhibitors

Overview of attention for article published in Viruses, March 2019
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About this Attention Score

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

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 Mendeley
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Title
A Bimolecular Multicellular Complementation System for the Detection of Syncytium Formation: A New Methodology for the Identification of Nipah Virus Entry Inhibitors
Published in
Viruses, March 2019
DOI 10.3390/v11030229
Pubmed ID
Authors

María García-Murria, Neus Expósito-Domínguez, Gerard Duart, Ismael Mingarro, Luis Martinez-Gil

Twitter Demographics

The data shown below were collected from the profiles of 4 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 27%
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Student > Postgraduate 2 13%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Agricultural and Biological Sciences 4 27%
Immunology and Microbiology 1 7%
Chemistry 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 1 7%

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 21 March 2019.
All research outputs
#11,708,115
of 20,591,902 outputs
Outputs from Viruses
#2,919
of 6,591 outputs
Outputs of similar age
#136,715
of 285,896 outputs
Outputs of similar age from Viruses
#35
of 39 outputs
Altmetric has tracked 20,591,902 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,591 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 54% 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 285,896 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 39 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.