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Nuclei in Core-Collapse Supernovae Engine

Overview of attention for article published in arXiv, November 2022
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Nuclei in Core-Collapse Supernovae Engine
Published in
arXiv, November 2022
DOI 10.1016/j.ppnp.2022.104018
Authors

Shun Furusawa, Hiroki Nagakura

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Physics and Astronomy 1 33%
Unknown 2 67%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 November 2022.
All research outputs
#4,141,895
of 23,114,117 outputs
Outputs from arXiv
#87,936
of 949,998 outputs
Outputs of similar age
#85,196
of 442,182 outputs
Outputs of similar age from arXiv
#4,078
of 44,182 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949,998 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 89% 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 442,182 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 80% of its contemporaries.
We're also able to compare this research output to 44,182 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.