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MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection

Overview of attention for article published in IEEE Transactions on Geoscience and Remote Sensing, January 2023
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About this Attention Score

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

Mentioned by

twitter
5 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
15 Mendeley
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Title
MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection
Published in
IEEE Transactions on Geoscience and Remote Sensing, January 2023
DOI 10.1109/tgrs.2023.3235002
Authors

Tianhao Wu, Boyang Li, Yihang Luo, Yingqian Wang, Chao Xiao, Ting Liu, Jungang Yang, Wei An, Yulan Guo

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Unspecified 2 13%
Student > Doctoral Student 1 7%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Computer Science 3 20%
Unspecified 2 13%
Engineering 2 13%
Earth and Planetary Sciences 1 7%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 September 2022.
All research outputs
#15,184,741
of 25,392,582 outputs
Outputs from IEEE Transactions on Geoscience and Remote Sensing
#2,325
of 3,059 outputs
Outputs of similar age
#204,088
of 474,341 outputs
Outputs of similar age from IEEE Transactions on Geoscience and Remote Sensing
#14
of 32 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,059 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 22nd percentile – i.e., 22% 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 474,341 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 32 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 50% of its contemporaries.