↓ Skip to main content

Deep multimodal fusion for ground-based cloud classification in weather station networks

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, February 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
22 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
Deep multimodal fusion for ground-based cloud classification in weather station networks
Published in
EURASIP Journal on Wireless Communications and Networking, February 2018
DOI 10.1186/s13638-018-1062-0
Authors

Shuang Liu, Mei Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Bachelor 3 14%
Researcher 3 14%
Student > Master 2 9%
Unknown 10 45%
Readers by discipline Count As %
Computer Science 6 27%
Engineering 2 9%
Business, Management and Accounting 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Earth and Planetary Sciences 1 5%
Other 1 5%
Unknown 10 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 March 2018.
All research outputs
#15,989,045
of 25,382,440 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#280
of 549 outputs
Outputs of similar age
#197,614
of 343,516 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#6
of 17 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 48th percentile – i.e., 48% 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 343,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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 64% of its contemporaries.