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From one to crowd: a survey on crowdsourcing-based wireless indoor localization

Overview of attention for article published in Frontiers of Computer Science, May 2018
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About this Attention Score

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
41 Mendeley
Title
From one to crowd: a survey on crowdsourcing-based wireless indoor localization
Published in
Frontiers of Computer Science, May 2018
DOI 10.1007/s11704-017-6520-z
Authors

Xiaolei Zhou, Tao Chen, Deke Guo, Xiaoqiang Teng, Bo Yuan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Doctoral Student 5 12%
Researcher 5 12%
Lecturer 2 5%
Professor > Associate Professor 2 5%
Other 3 7%
Unknown 16 39%
Readers by discipline Count As %
Computer Science 12 29%
Engineering 8 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Earth and Planetary Sciences 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 18 44%
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 18 May 2018.
All research outputs
#15,514,515
of 23,057,470 outputs
Outputs from Frontiers of Computer Science
#52
of 465 outputs
Outputs of similar age
#207,419
of 325,568 outputs
Outputs of similar age from Frontiers of Computer Science
#1
of 17 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 60% 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 325,568 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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.