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Efficient gene transfer to airway epithelium using recombinant Sendai virus

Overview of attention for article published in Nature Biotechnology, September 2000
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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14 X users
patent
9 patents

Citations

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209 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Efficient gene transfer to airway epithelium using recombinant Sendai virus
Published in
Nature Biotechnology, September 2000
DOI 10.1038/79463
Pubmed ID
Authors

Yoshikazu Yonemitsu, Christopher Kitson, Stefano Ferrari, Raymond Farley, Uta Griesenbach, Diane Judd, Rachel Steel, Philippe Scheid, Jie Zhu, Peter K. Jeffery, Atsushi Kato, Mohammad K. Hasan, Yoshiyuki Nagai, Ichiro Masaki, Masayuki Fukumura, Mamoru Hasegawa, Duncan M. Geddes, Eric W.F.W. Alton

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Japan 1 2%
India 1 2%
United States 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 12 20%
Student > Master 9 15%
Student > Bachelor 4 7%
Professor 3 5%
Other 6 10%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 33%
Biochemistry, Genetics and Molecular Biology 10 16%
Medicine and Dentistry 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Immunology and Microbiology 3 5%
Other 1 2%
Unknown 16 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 20 October 2022.
All research outputs
#1,937,072
of 25,010,497 outputs
Outputs from Nature Biotechnology
#2,784
of 8,702 outputs
Outputs of similar age
#1,436
of 37,660 outputs
Outputs of similar age from Nature Biotechnology
#3
of 64 outputs
Altmetric has tracked 25,010,497 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.8. This one has gotten more attention than average, scoring higher than 67% 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 37,660 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 96% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.