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LIDAR and Monocular Based Overhanging Obstacle Detection

Overview of attention for article published in Procedia Computer Science, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
57 Mendeley
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Title
LIDAR and Monocular Based Overhanging Obstacle Detection
Published in
Procedia Computer Science, January 2015
DOI 10.1016/j.procs.2015.08.218
Authors

Jeffery Young, Milan Simic

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Brazil 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 19%
Student > Master 9 16%
Researcher 9 16%
Student > Ph. D. Student 7 12%
Professor 3 5%
Other 6 11%
Unknown 12 21%
Readers by discipline Count As %
Engineering 20 35%
Computer Science 17 30%
Medicine and Dentistry 2 4%
Environmental Science 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 5%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2021.
All research outputs
#7,486,330
of 22,883,326 outputs
Outputs from Procedia Computer Science
#528
of 2,307 outputs
Outputs of similar age
#105,808
of 353,368 outputs
Outputs of similar age from Procedia Computer Science
#89
of 430 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,307 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 58% 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 353,368 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 54% of its contemporaries.
We're also able to compare this research output to 430 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.