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High-efficiency, large-area, topology-optimized metasurfaces

Overview of attention for article published in Light: Science & Applications, May 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
85 Mendeley
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Title
High-efficiency, large-area, topology-optimized metasurfaces
Published in
Light: Science & Applications, May 2019
DOI 10.1038/s41377-019-0159-5
Pubmed ID
Authors

Thaibao Phan, David Sell, Evan W. Wang, Sage Doshay, Kofi Edee, Jianji Yang, Jonathan A. Fan

Twitter Demographics

The data shown below were collected from the profiles of 5 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 44%
Researcher 10 12%
Student > Doctoral Student 8 9%
Student > Bachelor 4 5%
Student > Master 4 5%
Other 10 12%
Unknown 12 14%
Readers by discipline Count As %
Physics and Astronomy 31 36%
Engineering 27 32%
Materials Science 5 6%
Chemistry 1 1%
Unknown 21 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 July 2021.
All research outputs
#9,921,723
of 18,240,594 outputs
Outputs from Light: Science & Applications
#565
of 917 outputs
Outputs of similar age
#122,901
of 277,492 outputs
Outputs of similar age from Light: Science & Applications
#1
of 1 outputs
Altmetric has tracked 18,240,594 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 36th percentile – i.e., 36% 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 277,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% 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