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Familiarity-dependent computational modelling of indoor landmark selection for route communication: a ranking approach

Overview of attention for article published in International Journal of Geographical Information Science, July 2021
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Mentioned by

twitter
3 X users

Citations

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8 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Familiarity-dependent computational modelling of indoor landmark selection for route communication: a ranking approach
Published in
International Journal of Geographical Information Science, July 2021
DOI 10.1080/13658816.2021.1946542
Authors

Zhiyong Zhou, Robert Weibel, Haosheng Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Postgraduate 2 17%
Student > Doctoral Student 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 3 25%
Psychology 1 8%
Design 1 8%
Unknown 7 58%
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 05 November 2021.
All research outputs
#15,794,605
of 25,452,734 outputs
Outputs from International Journal of Geographical Information Science
#1
of 1 outputs
Outputs of similar age
#228,129
of 446,447 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 1 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 446,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them