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Sparse spatial transformers for few-shot learning

Overview of attention for article published in Science China Information Sciences, October 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
6 X users

Citations

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7 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Sparse spatial transformers for few-shot learning
Published in
Science China Information Sciences, October 2023
DOI 10.1007/s11432-022-3700-8
Authors

Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Master 5 12%
Student > Bachelor 3 7%
Librarian 1 2%
Lecturer 1 2%
Other 2 5%
Unknown 22 51%
Readers by discipline Count As %
Computer Science 13 30%
Mathematics 2 5%
Engineering 2 5%
Agricultural and Biological Sciences 1 2%
Chemical Engineering 1 2%
Other 2 5%
Unknown 22 51%
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 11 May 2023.
All research outputs
#14,011,843
of 24,770,025 outputs
Outputs from Science China Information Sciences
#205
of 265 outputs
Outputs of similar age
#92,870
of 260,961 outputs
Outputs of similar age from Science China Information Sciences
#3
of 3 outputs
Altmetric has tracked 24,770,025 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 265 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 23rd percentile – i.e., 23% 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 260,961 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 64% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.