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Data assessment and prioritization in mobile networks for real-time prediction of spatial information using machine learning

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
Title
Data assessment and prioritization in mobile networks for real-time prediction of spatial information using machine learning
Published in
EURASIP Journal on Wireless Communications and Networking, May 2020
DOI 10.1186/s13638-020-01709-1
Authors

Ryoichi Shinkuma, Takayuki Nishio, Yuichi Inagaki, Eiji Oki

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Lecturer 3 13%
Student > Ph. D. Student 3 13%
Student > Bachelor 2 9%
Other 1 4%
Other 4 17%
Unknown 5 22%
Readers by discipline Count As %
Computer Science 7 30%
Engineering 3 13%
Social Sciences 2 9%
Environmental Science 1 4%
Business, Management and Accounting 1 4%
Other 3 13%
Unknown 6 26%
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 25 August 2022.
All research outputs
#8,540,769
of 25,387,668 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#104
of 549 outputs
Outputs of similar age
#177,236
of 418,685 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#3
of 8 outputs
Altmetric has tracked 25,387,668 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 418,685 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.