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Lippmann–Schwinger–Lanczos algorithm for inverse scattering problems

Overview of attention for article published in Inverse Problems, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
1 X user
q&a
1 Q&A thread

Readers on

mendeley
4 Mendeley
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Article details
Title
Lippmann–Schwinger–Lanczos algorithm for inverse scattering problems
Published in
Inverse Problems, June 2021
DOI 10.1088/1361-6420/abfca4
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline
Readers by discipline Count As %
Environmental Science 1 25%
Earth and Planetary Sciences 1 25%
Physics and Astronomy 1 25%
Unknown 1 25%
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 21 May 2024.
All research outputs
#17,135,271
of 29,224,081 outputs
Outputs from Inverse Problems
#270
of 1,152 outputs
Outputs of similar age
#212,917
of 468,134 outputs
Outputs of similar age from Inverse Problems
#1
of 18 outputs
Altmetric has tracked 29,224,081 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,152 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 76% 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 468,134 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 53% of its contemporaries.
We're also able to compare this research output to 18 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 94% of its contemporaries.