↓ Skip to main content

Object recognition in noisy RGB-D data using GNG

Overview of attention for article published in Pattern Analysis and Applications, April 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
17 Mendeley
Title
Object recognition in noisy RGB-D data using GNG
Published in
Pattern Analysis and Applications, April 2016
DOI 10.1007/s10044-016-0546-y
Authors

José Carlos Rangel, Vicente Morell, Miguel Cazorla, Sergio Orts-Escolano, José García-Rodríguez

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Professor > Associate Professor 3 18%
Student > Master 2 12%
Researcher 2 12%
Student > Bachelor 1 6%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 10 59%
Engineering 4 24%
Environmental Science 1 6%
Unknown 2 12%
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 03 May 2016.
All research outputs
#16,061,913
of 23,842,189 outputs
Outputs from Pattern Analysis and Applications
#150
of 349 outputs
Outputs of similar age
#182,394
of 300,985 outputs
Outputs of similar age from Pattern Analysis and Applications
#2
of 3 outputs
Altmetric has tracked 23,842,189 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 349 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 37th percentile – i.e., 37% 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 300,985 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.