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RelTR: Relation Transformer for Scene Graph Generation

Overview of attention for article published in IEEE Transactions on Software Engineering, August 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
61 Mendeley
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Title
RelTR: Relation Transformer for Scene Graph Generation
Published in
IEEE Transactions on Software Engineering, August 2023
DOI 10.1109/tpami.2023.3268066
Pubmed ID
Authors

Yuren Cong, Michael Ying Yang, Bodo Rosenhahn

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Researcher 6 10%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Student > Master 4 7%
Other 5 8%
Unknown 27 44%
Readers by discipline Count As %
Computer Science 23 38%
Engineering 7 11%
Design 2 3%
Medicine and Dentistry 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 26 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 26 June 2023.
All research outputs
#1,670,677
of 25,394,764 outputs
Outputs from IEEE Transactions on Software Engineering
#119
of 6,374 outputs
Outputs of similar age
#29,074
of 357,165 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#2
of 44 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,374 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 98% 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 357,165 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.