↓ Skip to main content

Active Fire Detection Using a Novel Convolutional Neural Network Based on Himawari-8 Satellite Images

Overview of attention for article published in Frontiers in Environmental Science, March 2022
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
40 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Active Fire Detection Using a Novel Convolutional Neural Network Based on Himawari-8 Satellite Images
Published in
Frontiers in Environmental Science, March 2022
DOI 10.3389/fenvs.2022.794028
Authors

Zhonghua Hong, Zhizhou Tang, Haiyan Pan, Yuewei Zhang, Zhongsheng Zheng, Ruyan Zhou, Zhenling Ma, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 13%
Researcher 3 8%
Student > Bachelor 2 5%
Professor > Associate Professor 2 5%
Student > Ph. D. Student 2 5%
Other 5 13%
Unknown 21 53%
Readers by discipline Count As %
Engineering 5 13%
Computer Science 5 13%
Environmental Science 3 8%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Other 1 3%
Unknown 22 55%
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 10 March 2022.
All research outputs
#20,567,353
of 25,837,817 outputs
Outputs from Frontiers in Environmental Science
#1,618
of 4,805 outputs
Outputs of similar age
#320,296
of 450,478 outputs
Outputs of similar age from Frontiers in Environmental Science
#107
of 407 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,805 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 62% 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 450,478 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 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.