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A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications

Overview of attention for article published in Frontiers in Remote Sensing, October 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

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Citations

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71 Dimensions

Readers on

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36 Mendeley
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Title
A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications
Published in
Frontiers in Remote Sensing, October 2021
DOI 10.3389/frsen.2021.706851
Authors

Oleg Dubovik, David Fuertes, Pavel Litvinov, Anton Lopatin, Tatyana Lapyonok, Ivan Doubovik, Feng Xu, Fabrice Ducos, Cheng Chen, Benjamin Torres, Yevgeny Derimian, Lei Li, Marcos Herreras-Giralda, Milagros Herrera, Yana Karol, Christian Matar, Gregory L. Schuster, Reed Espinosa, Anin Puthukkudy, Zhengqiang Li, Juergen Fischer, Rene Preusker, Juan Cuesta, Axel Kreuter, Alexander Cede, Michael Aspetsberger, Daniel Marth, Lukas Bindreiter, Andreas Hangler, Verena Lanzinger, Christoph Holter, Christian Federspiel

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Master 7 19%
Other 4 11%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Other 3 8%
Unknown 9 25%
Readers by discipline Count As %
Earth and Planetary Sciences 14 39%
Engineering 3 8%
Chemistry 2 6%
Physics and Astronomy 2 6%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 November 2021.
All research outputs
#7,556,603
of 25,992,468 outputs
Outputs from Frontiers in Remote Sensing
#1
of 1 outputs
Outputs of similar age
#143,404
of 445,442 outputs
Outputs of similar age from Frontiers in Remote Sensing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 4.0. This one scored the same or higher as 0 of them.
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 445,442 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 67% 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