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GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters

Overview of attention for article published in The Astrophysical Journal, August 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
2 X users
facebook
1 Facebook page

Readers on

mendeley
23 Mendeley
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Article details
Title
GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters
Published in
The Astrophysical Journal, August 2022
DOI 10.3847/1538-4357/ac7f9e
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 2 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Professor 2 9%
Researcher 2 9%
Professor > Associate Professor 2 9%
Lecturer > Senior Lecturer 1 4%
Other 4 17%
Unknown 8 35%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 10 43%
Computer Science 2 9%
Arts and Humanities 1 4%
Nursing and Health Professions 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 7 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 17 August 2024.
All research outputs
#859,330
of 34,199,106 outputs
Outputs from The Astrophysical Journal
#1,857
of 49,101 outputs
Outputs of similar age
#16,226
of 453,445 outputs
Outputs of similar age from The Astrophysical Journal
#33
of 726 outputs
Altmetric has tracked 34,199,106 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 49,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 96% 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 453,445 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 96% of its contemporaries.
We're also able to compare this research output to 726 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.