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

Mentioned by

news
1 news outlet
twitter
4 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
54 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

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

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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 11%
Researcher 6 11%
Student > Ph. D. Student 4 7%
Student > Bachelor 4 7%
Student > Doctoral Student 3 6%
Other 10 19%
Unknown 21 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 17%
Immunology and Microbiology 6 11%
Medicine and Dentistry 5 9%
Nursing and Health Professions 4 7%
Social Sciences 3 6%
Other 6 11%
Unknown 21 39%

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 10 January 2022.
All research outputs
#3,529,776
of 21,544,335 outputs
Outputs from Journal of Biomedical Science
#136
of 932 outputs
Outputs of similar age
#77,014
of 337,938 outputs
Outputs of similar age from Journal of Biomedical Science
#1
of 1 outputs
Altmetric has tracked 21,544,335 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 932 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 85% 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 337,938 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 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them