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Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation

Overview of attention for article published in arXiv, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
178 Mendeley
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Article details
Title
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
Published in
arXiv, June 2019
DOI 10.1109/cvpr.2019.00636
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 178 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 35 20%
Student > Master 29 16%
Researcher 17 10%
Student > Postgraduate 9 5%
Student > Doctoral Student 7 4%
Other 13 7%
Unknown 68 38%
Readers by discipline
Readers by discipline Count As %
Computer Science 82 46%
Engineering 17 10%
Veterinary Science and Veterinary Medicine 1 <1%
Mathematics 1 <1%
Economics, Econometrics and Finance 1 <1%
Other 3 2%
Unknown 73 41%
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 13 April 2019.
All research outputs
#14,403,185
of 25,394,764 outputs
Outputs from arXiv
#170,712
of 915,829 outputs
Outputs of similar age
#173,805
of 367,208 outputs
Outputs of similar age from arXiv
#5,150
of 21,608 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,829 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 80% 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 367,208 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 52% of its contemporaries.
We're also able to compare this research output to 21,608 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.