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Recognition method of coal and gangue based on multispectral spectral characteristics combined with one-dimensional convolutional neural network

Overview of attention for article published in Frontiers in Earth Science, September 2022
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1 X user

Citations

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Title
Recognition method of coal and gangue based on multispectral spectral characteristics combined with one-dimensional convolutional neural network
Published in
Frontiers in Earth Science, September 2022
DOI 10.3389/feart.2022.893485
Authors

Feng Hu, Mengran Zhou, Rongying Dai, Yu Liu

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 October 2022.
All research outputs
#20,887,917
of 23,509,982 outputs
Outputs from Frontiers in Earth Science
#3,230
of 5,047 outputs
Outputs of similar age
#345,646
of 433,257 outputs
Outputs of similar age from Frontiers in Earth Science
#236
of 399 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,047 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 433,257 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 399 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.