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Attention Score in Context
Title |
NAN-DETR: noising multi-anchor makes DETR better for object detection
|
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Published in |
Frontiers in Neurorobotics, October 2024
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DOI | 10.3389/fnbot.2024.1484088 |
Authors |
Zixin Huang, Xuesong Tao, Xinyuan Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
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 17 October 2024.
All research outputs
#24,078,983
of 26,799,545 outputs
Outputs from Frontiers in Neurorobotics
#819
of 1,090 outputs
Outputs of similar age
#109,015
of 139,214 outputs
Outputs of similar age from Frontiers in Neurorobotics
#10
of 13 outputs
Altmetric has tracked 26,799,545 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,090 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% 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 139,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.