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Achieving optical transparency in live animals with absorbing molecules

Overview of attention for article published in Science, September 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
250 news outlets
blogs
24 blogs
twitter
1861 X users
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages
reddit
1 Redditor
video
5 YouTube creators

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Achieving optical transparency in live animals with absorbing molecules
Published in
Science, September 2024
DOI 10.1126/science.adm6869
Pubmed ID
Authors

Zihao Ou, Yi-Shiou Duh, Nicholas J Rommelfanger, Carl H C Keck, Shan Jiang, Kenneth Brinson, Su Zhao, Elizabeth L Schmidt, Xiang Wu, Fan Yang, Betty Cai, Han Cui, Wei Qi, Shifu Wu, Adarsh Tantry, Richard Roth, Jun Ding, Xiaoke Chen, Julia A Kaltschmidt, Mark L Brongersma, Guosong Hong

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 1,861 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 56%
Professor 2 22%
Student > Postgraduate 1 11%
Unspecified 1 11%
Readers by discipline Count As %
Neuroscience 2 22%
Unspecified 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Environmental Science 1 11%
Immunology and Microbiology 1 11%
Other 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3072. 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 September 2024.
All research outputs
#2,202
of 26,245,199 outputs
Outputs from Science
#124
of 82,785 outputs
Outputs of similar age
#9
of 177,324 outputs
Outputs of similar age from Science
#1
of 267 outputs
Altmetric has tracked 26,245,199 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 67.7. This one has done particularly well, scoring higher than 99% 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 177,324 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 99% of its contemporaries.
We're also able to compare this research output to 267 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 99% of its contemporaries.