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Indoor navigation systems based on data mining techniques in internet of things: a survey

Overview of attention for article published in Wireless Networks, May 2018
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Mentioned by

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1 X user

Citations

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46 Dimensions

Readers on

mendeley
124 Mendeley
Title
Indoor navigation systems based on data mining techniques in internet of things: a survey
Published in
Wireless Networks, May 2018
DOI 10.1007/s11276-018-1766-4
Authors

Mahbubeh Sattarian, Javad Rezazadeh, Reza Farahbakhsh, Alireza Bagheri

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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 12%
Student > Doctoral Student 15 12%
Student > Bachelor 15 12%
Researcher 9 7%
Student > Master 9 7%
Other 21 17%
Unknown 40 32%
Readers by discipline Count As %
Computer Science 48 39%
Engineering 21 17%
Nursing and Health Professions 3 2%
Agricultural and Biological Sciences 2 2%
Earth and Planetary Sciences 2 2%
Other 6 5%
Unknown 42 34%
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 01 June 2018.
All research outputs
#15,532,144
of 23,083,773 outputs
Outputs from Wireless Networks
#295
of 375 outputs
Outputs of similar age
#210,747
of 331,249 outputs
Outputs of similar age from Wireless Networks
#5
of 8 outputs
Altmetric has tracked 23,083,773 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 375 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 12th percentile – i.e., 12% 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 331,249 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.