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Sintel: A Machine Learning Framework to Extract Insights from Signals

Overview of attention for article published in arXiv, June 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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4 X users

Readers on

mendeley
26 Mendeley
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Article details
Title
Sintel: A Machine Learning Framework to Extract Insights from Signals
Published in
arXiv, June 2022
DOI 10.1145/3514221.3517910
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 3 12%
Student > Ph. D. Student 2 8%
Other 1 4%
Student > Master 1 4%
Researcher 1 4%
Other 0 0%
Unknown 18 69%
Readers by discipline
Readers by discipline Count As %
Computer Science 5 19%
Engineering 2 8%
Unknown 19 73%
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 18 August 2022.
All research outputs
#17,718,895
of 28,071,745 outputs
Outputs from arXiv
#271,049
of 1,123,667 outputs
Outputs of similar age
#226,216
of 454,322 outputs
Outputs of similar age from arXiv
#7,481
of 28,212 outputs
Altmetric has tracked 28,071,745 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,123,667 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 73% 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 454,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,212 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 68% of its contemporaries.