↓ Skip to main content

High-Accuracy Mass, Spin, and Recoil Predictions of Generic Black-Hole Merger Remnants

Overview of attention for article published in Physical Review Letters, January 2019
Altmetric Badge

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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
4 news outlets
twitter
6 tweeters
facebook
2 Facebook pages
googleplus
2 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
Title
High-Accuracy Mass, Spin, and Recoil Predictions of Generic Black-Hole Merger Remnants
Published in
Physical Review Letters, January 2019
DOI 10.1103/physrevlett.122.011101
Authors

Vijay Varma, Davide Gerosa, Leo C. Stein, François Hébert, Hao Zhang

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Master 2 22%
Student > Postgraduate 1 11%
Other 1 11%
Student > Ph. D. Student 1 11%
Other 2 22%
Readers by discipline Count As %
Physics and Astronomy 6 67%
Engineering 2 22%
Unspecified 1 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 28 January 2019.
All research outputs
#455,214
of 12,860,000 outputs
Outputs from Physical Review Letters
#1,879
of 26,157 outputs
Outputs of similar age
#20,908
of 305,868 outputs
Outputs of similar age from Physical Review Letters
#20
of 51 outputs
Altmetric has tracked 12,860,000 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 92% 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 305,868 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 93% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.