↓ Skip to main content

Dissecting insect cell heterogeneity during influenza VLP production using single-cell transcriptomics

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2023
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
4 X users
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
Dissecting insect cell heterogeneity during influenza VLP production using single-cell transcriptomics
Published in
Frontiers in Bioengineering and Biotechnology, March 2023
DOI 10.3389/fbioe.2023.1143255
Pubmed ID
Authors

Marco Silvano, Nikolaus Virgolini, Ricardo Correia, Colin Clarke, Inês A. Isidro, Paula M. Alves, António Roldão

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

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 24 March 2023.
All research outputs
#14,498,023
of 25,550,333 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,661
of 8,601 outputs
Outputs of similar age
#169,489
of 425,625 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#51
of 499 outputs
Altmetric has tracked 25,550,333 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 8,601 research outputs from this source. They receive a mean Attention Score of 3.5. 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 425,625 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 59% of its contemporaries.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.