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Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections

Overview of attention for article published in Journal of Nanobiotechnology, December 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
154 Mendeley
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Title
Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections
Published in
Journal of Nanobiotechnology, December 2021
DOI 10.1186/s12951-021-01132-8
Pubmed ID
Authors

Yuye Wu, Dheerendranath Battalapalli, Mohammed J. Hakeem, Venkatarao Selamneni, Pengfei Zhang, Mohamed S. Draz, Zhi Ruan

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

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 9%
Student > Ph. D. Student 13 8%
Unspecified 10 6%
Researcher 7 5%
Student > Postgraduate 6 4%
Other 19 12%
Unknown 85 55%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 15%
Unspecified 10 6%
Medicine and Dentistry 7 5%
Immunology and Microbiology 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 14 9%
Unknown 89 58%
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 23 January 2023.
All research outputs
#3,150,200
of 25,443,857 outputs
Outputs from Journal of Nanobiotechnology
#102
of 1,942 outputs
Outputs of similar age
#72,769
of 513,803 outputs
Outputs of similar age from Journal of Nanobiotechnology
#3
of 125 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,942 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 94% 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 513,803 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 85% of its contemporaries.
We're also able to compare this research output to 125 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 98% of its contemporaries.