↓ Skip to main content

RAgE: Robust Age Estimation Through Subject Anchoring With Consistency Regularisation

Overview of attention for article published in IEEE Transactions on Software Engineering, February 2024
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
9 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
RAgE: Robust Age Estimation Through Subject Anchoring With Consistency Regularisation
Published in
IEEE Transactions on Software Engineering, February 2024
DOI 10.1109/tpami.2022.3187079
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Lecturer 1 11%
Student > Doctoral Student 1 11%
Unknown 5 56%
Readers by discipline
Readers by discipline Count As %
Engineering 3 33%
Nursing and Health Professions 1 11%
Unknown 5 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 June 2022.
All research outputs
#30,950,088
of 34,140,750 outputs
Outputs from IEEE Transactions on Software Engineering
#7,453
of 7,834 outputs
Outputs of similar age
#380,129
of 439,402 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#44
of 58 outputs
Altmetric has tracked 34,140,750 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,834 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% 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 439,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.