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Study on deep-learning-based identification of hydrometeors observed by dual polarization Doppler weather radars

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, October 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
32 Mendeley
Title
Study on deep-learning-based identification of hydrometeors observed by dual polarization Doppler weather radars
Published in
EURASIP Journal on Wireless Communications and Networking, October 2017
DOI 10.1186/s13638-017-0965-5
Authors

Haijiang Wang, Yuanbo Ran, Yangyang Deng, Xu Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 6 19%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 2 6%
Unknown 9 28%
Readers by discipline Count As %
Engineering 9 28%
Earth and Planetary Sciences 8 25%
Computer Science 2 6%
Linguistics 1 3%
Physics and Astronomy 1 3%
Other 3 9%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 November 2021.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#104
of 549 outputs
Outputs of similar age
#130,812
of 339,185 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#2
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 53% 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 339,185 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 52% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.