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Optimizing supercontinuum spectro-temporal properties by leveraging machine learning towards multi-photon microscopy

Overview of attention for article published in Frontiers in Photonics, September 2022
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About this Attention Score

  • Among the highest-scoring outputs from this source (#17 of 100)
  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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5 X users

Citations

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9 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Optimizing supercontinuum spectro-temporal properties by leveraging machine learning towards multi-photon microscopy
Published in
Frontiers in Photonics, September 2022
DOI 10.3389/fphot.2022.940902
Authors

Van Thuy Hoang, Yassin Boussafa, Lynn Sader, Sébastien Février, Vincent Couderc, Benjamin Wetzel

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 7 54%
Readers by discipline Count As %
Physics and Astronomy 2 15%
Engineering 2 15%
Neuroscience 1 8%
Unknown 8 62%
Attention Score in Context

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 27 October 2022.
All research outputs
#14,868,190
of 26,130,653 outputs
Outputs from Frontiers in Photonics
#17
of 100 outputs
Outputs of similar age
#174,024
of 437,176 outputs
Outputs of similar age from Frontiers in Photonics
#5
of 17 outputs
Altmetric has tracked 26,130,653 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 100 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 83% 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 437,176 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 59% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.