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Dust InSMS: Intelligent soiling measurement system for dust detection on solar mirrors using computer vision methods

Overview of attention for article published in Expert Systems with Applications, January 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Dust InSMS: Intelligent soiling measurement system for dust detection on solar mirrors using computer vision methods
Published in
Expert Systems with Applications, January 2023
DOI 10.1016/j.eswa.2022.118646
Authors

Massaab El Ydrissi, Hicham Ghennioui, El Ghali Bennouna, Azouzoute Alae, Mounir Abraim, Ibrahim Taabane, Abdi Farid

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Professor > Associate Professor 1 6%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 10 56%
Readers by discipline Count As %
Engineering 3 17%
Energy 3 17%
Computer Science 2 11%
Unknown 10 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 September 2022.
All research outputs
#3,083,630
of 25,392,582 outputs
Outputs from Expert Systems with Applications
#94
of 4,226 outputs
Outputs of similar age
#62,402
of 475,273 outputs
Outputs of similar age from Expert Systems with Applications
#3
of 273 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,226 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% 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 475,273 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 273 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 98% of its contemporaries.