↓ Skip to main content

Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network

Overview of attention for article published in Frontiers in Neurorobotics, October 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
75 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network
Published in
Frontiers in Neurorobotics, October 2018
DOI 10.3389/fnbot.2018.00064
Pubmed ID
Authors

Tianrui Liu, Tania Stathaki

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

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Bachelor 9 12%
Student > Master 7 9%
Researcher 6 8%
Other 4 5%
Other 9 12%
Unknown 28 37%
Readers by discipline Count As %
Computer Science 28 37%
Engineering 10 13%
Decision Sciences 2 3%
Mathematics 1 1%
Earth and Planetary Sciences 1 1%
Other 3 4%
Unknown 30 40%
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 19 October 2018.
All research outputs
#20,140,993
of 25,622,179 outputs
Outputs from Frontiers in Neurorobotics
#562
of 1,050 outputs
Outputs of similar age
#261,065
of 356,670 outputs
Outputs of similar age from Frontiers in Neurorobotics
#15
of 25 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,050 research outputs from this source. They receive a mean Attention Score of 4.1. 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 356,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.