↓ Skip to main content

Finding high-redshift strong lenses in DES using convolutional neural networks

Overview of attention for article published in Monthly Notices of the Royal Astronomical Society, January 2019
Altmetric Badge

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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Readers on

mendeley
42 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
Finding high-redshift strong lenses in DES using convolutional neural networks
Published in
Monthly Notices of the Royal Astronomical Society, January 2019
DOI 10.1093/mnras/stz272
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 profiles of 5 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 6 14%
Student > Master 5 12%
Student > Doctoral Student 2 5%
Lecturer 1 2%
Other 2 5%
Unknown 15 36%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 24 57%
Computer Science 2 5%
Neuroscience 1 2%
Unknown 15 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 June 2019.
All research outputs
#4,113,235
of 28,818,276 outputs
Outputs from Monthly Notices of the Royal Astronomical Society
#7,197
of 41,863 outputs
Outputs of similar age
#80,338
of 455,491 outputs
Outputs of similar age from Monthly Notices of the Royal Astronomical Society
#190
of 812 outputs
Altmetric has tracked 28,818,276 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 41,863 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 82% 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 455,491 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 812 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.