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An RSS-based regression model for user equipment location in cellular networks using machine learning

Overview of attention for article published in Wireless Networks, June 2018
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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 (57th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
26 Mendeley
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Title
An RSS-based regression model for user equipment location in cellular networks using machine learning
Published in
Wireless Networks, June 2018
DOI 10.1007/s11276-018-1774-4
Authors

L. L. Oliveira, L. A. Oliveira, G. W. A. Silva, R. D. A. Timoteo, D. C. Cunha

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 15%
Student > Ph. D. Student 4 15%
Student > Bachelor 3 12%
Student > Master 2 8%
Lecturer 1 4%
Other 1 4%
Unknown 11 42%
Readers by discipline Count As %
Engineering 6 23%
Computer Science 4 15%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Psychology 1 4%
Other 1 4%
Unknown 12 46%
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 30 July 2018.
All research outputs
#13,622,705
of 23,098,660 outputs
Outputs from Wireless Networks
#279
of 375 outputs
Outputs of similar age
#155,793
of 301,961 outputs
Outputs of similar age from Wireless Networks
#3
of 7 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 375 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 24th percentile – i.e., 24% 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 301,961 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.