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Semantic Scene Mapping with Spatio-temporal Deep Neural Network for Robotic Applications

Overview of attention for article published in Cognitive Computation, November 2017
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Mentioned by

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1 X user

Citations

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19 Dimensions

Readers on

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36 Mendeley
Title
Semantic Scene Mapping with Spatio-temporal Deep Neural Network for Robotic Applications
Published in
Cognitive Computation, November 2017
DOI 10.1007/s12559-017-9526-9
Authors

Ruihao Li, Dongbing Gu, Qiang Liu, Zhiqiang Long, Huosheng Hu

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 6 17%
Student > Doctoral Student 5 14%
Student > Bachelor 4 11%
Student > Postgraduate 2 6%
Other 6 17%
Unknown 5 14%
Readers by discipline Count As %
Engineering 14 39%
Computer Science 12 33%
Unspecified 1 3%
Business, Management and Accounting 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 6 17%
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 25 November 2017.
All research outputs
#18,576,855
of 23,008,860 outputs
Outputs from Cognitive Computation
#221
of 413 outputs
Outputs of similar age
#325,926
of 438,305 outputs
Outputs of similar age from Cognitive Computation
#5
of 18 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 413 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 3rd percentile – i.e., 3% 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 438,305 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.