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Odor recognition in robotics applications by discriminative time-series modeling

Overview of attention for article published in Pattern Analysis and Applications, January 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#38 of 352)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
39 Mendeley
Title
Odor recognition in robotics applications by discriminative time-series modeling
Published in
Pattern Analysis and Applications, January 2015
DOI 10.1007/s10044-014-0442-2
Authors

Frank-Michael Schleif, Barbara Hammer, Javier Gonzalez Monroy, Javier Gonzalez Jimenez, Jose-Luis Blanco-Claraco, Michael Biehl, Nicolai Petkov

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

Geographical breakdown

Country Count As %
Spain 1 3%
Germany 1 3%
Singapore 1 3%
Switzerland 1 3%
Unknown 35 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 15%
Lecturer 4 10%
Unspecified 3 8%
Professor 3 8%
Researcher 3 8%
Other 10 26%
Unknown 10 26%
Readers by discipline Count As %
Engineering 12 31%
Computer Science 7 18%
Unspecified 3 8%
Agricultural and Biological Sciences 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 March 2020.
All research outputs
#6,895,188
of 24,080,653 outputs
Outputs from Pattern Analysis and Applications
#38
of 352 outputs
Outputs of similar age
#90,696
of 360,096 outputs
Outputs of similar age from Pattern Analysis and Applications
#1
of 7 outputs
Altmetric has tracked 24,080,653 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 352 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done well, scoring higher than 88% 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 360,096 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 7 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