↓ Skip to main content

Deep saliency detection-based pedestrian detection with multispectral multi-scale features fusion network

Overview of attention for article published in Frontiers in Physics, January 2024
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
1 X user

Readers on

mendeley
1 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
Deep saliency detection-based pedestrian detection with multispectral multi-scale features fusion network
Published in
Frontiers in Physics, January 2024
DOI 10.3389/fphy.2023.1322232
Authors

Li Ma, Jinjin Wang, Xinguan Dai, Hangbiao Gao

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 January 2024.
All research outputs
#21,461,250
of 26,337,162 outputs
Outputs from Frontiers in Physics
#1,385
of 4,563 outputs
Outputs of similar age
#266,148
of 377,327 outputs
Outputs of similar age from Frontiers in Physics
#26
of 142 outputs
Altmetric has tracked 26,337,162 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,563 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 52% 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 377,327 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 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.