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Gene therapy for cystic fibrosis: new tools for precision medicine

Overview of attention for article published in Journal of Translational Medicine, October 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
56 Mendeley
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Title
Gene therapy for cystic fibrosis: new tools for precision medicine
Published in
Journal of Translational Medicine, October 2021
DOI 10.1186/s12967-021-03099-4
Pubmed ID
Authors

Jin-A Lee, Alex Cho, Elena N. Huang, Yiming Xu, Henry Quach, Jim Hu, Amy P. Wong

Twitter Demographics

The data shown below were collected from the profiles of 2 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 21%
Student > Ph. D. Student 5 9%
Student > Master 5 9%
Researcher 3 5%
Student > Doctoral Student 3 5%
Other 6 11%
Unknown 22 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 16%
Medicine and Dentistry 4 7%
Agricultural and Biological Sciences 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Business, Management and Accounting 2 4%
Other 9 16%
Unknown 25 45%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 November 2021.
All research outputs
#14,318,223
of 21,301,416 outputs
Outputs from Journal of Translational Medicine
#2,083
of 3,673 outputs
Outputs of similar age
#248,609
of 422,299 outputs
Outputs of similar age from Journal of Translational Medicine
#170
of 357 outputs
Altmetric has tracked 21,301,416 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 422,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 357 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.