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A novel pseudovirus‐based mouse model of SARS-CoV-2 infection to test COVID-19 interventions

Overview of attention for article published in Journal of Biomedical Science, April 2021
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
patent
1 patent

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
71 Mendeley
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Title
A novel pseudovirus‐based mouse model of SARS-CoV-2 infection to test COVID-19 interventions
Published in
Journal of Biomedical Science, April 2021
DOI 10.1186/s12929-021-00729-3
Pubmed ID
Authors

Ssu-Hsueh Tseng, Brandon Lam, Yu Jui Kung, John Lin, Li Liu, Ya Chea Tsai, Louise Ferrall, Richard B. S. Roden, T. C. Wu, Chien-Fu Hung

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 11%
Student > Ph. D. Student 7 10%
Researcher 6 8%
Student > Bachelor 5 7%
Student > Doctoral Student 3 4%
Other 10 14%
Unknown 32 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 17%
Medicine and Dentistry 6 8%
Immunology and Microbiology 6 8%
Nursing and Health Professions 5 7%
Agricultural and Biological Sciences 2 3%
Other 8 11%
Unknown 32 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 29 June 2023.
All research outputs
#3,277,554
of 25,387,668 outputs
Outputs from Journal of Biomedical Science
#124
of 1,104 outputs
Outputs of similar age
#81,633
of 453,280 outputs
Outputs of similar age from Journal of Biomedical Science
#4
of 21 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 88% 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 453,280 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 81% of its contemporaries.
We're also able to compare this research output to 21 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.