↓ Skip to main content

Zika Virus Strains Potentially Display Different Infectious Profiles in Human Neural Cells

Overview of attention for article published in EBioMedicine, September 2016
Altmetric Badge

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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
22 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
270 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.
Article details
Title
Zika Virus Strains Potentially Display Different Infectious Profiles in Human Neural Cells
Published in
EBioMedicine, September 2016
DOI 10.1016/j.ebiom.2016.09.020
Pubmed ID
Authors
Abstract

The recent Zika virus (ZIKV) epidemic has highlighted the poor knowledge on its physiopathology. Recent studies showed that ZIKV of the Asian lineage, responsible for this international outbreak, causes neuropathology in vitro and in vivo. However, two African lineages exist and the virus is currently found circulating in Africa. The original African strain was also suggested to be neurovirulent but its laboratory usage has been criticized due to its multiple passages. In this study, we compared the French Polynesian (Asian) ZIKV strain to an African strain isolated in Central African Republic and show a difference in infectivity and cellular response between both strains in human neural stem cells and astrocytes. Consistently, this African strain led to a higher infection rate and viral production, as well as stronger cell death and anti-viral response. Our results highlight the need to better characterize the physiopathology and predict neurological impairment associated with African ZIKV.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Japan 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 266 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 44 16%
Researcher 42 16%
Student > Ph. D. Student 38 14%
Student > Master 38 14%
Student > Doctoral Student 13 5%
Other 43 16%
Unknown 52 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 51 19%
Biochemistry, Genetics and Molecular Biology 46 17%
Immunology and Microbiology 41 15%
Medicine and Dentistry 31 11%
Neuroscience 16 6%
Other 22 8%
Unknown 63 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 02 November 2021.
All research outputs
#2,038,026
of 34,332,845 outputs
Outputs from EBioMedicine
#964
of 5,086 outputs
Outputs of similar age
#26,060
of 334,065 outputs
Outputs of similar age from EBioMedicine
#26
of 110 outputs
Altmetric has tracked 34,332,845 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.8. This one has done well, scoring higher than 80% 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 334,065 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.