↓ Skip to main content

An Advanced Course in Computational Nuclear Physics

Overview of attention for book
Attention for Chapter 10: In-Medium Similarity Renormalization Group Approach to the Nuclear Many-Body Problem
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
26 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.
Chapter title
In-Medium Similarity Renormalization Group Approach to the Nuclear Many-Body Problem
Chapter number 10
Book title
An Advanced Course in Computational Nuclear Physics
Published in
arXiv, January 2017
DOI 10.1007/978-3-319-53336-0_10
Book ISBNs
978-3-31-953335-3, 978-3-31-953336-0
Authors

H. Hergert, S. K. Bogner, J. G. Lietz, T. D. Morris, S. J. Novario, N. M. Parzuchowski, F. Yuan, Heiko Hergert, Scott K. Bogner, Justin G. Lietz, Titus D. Morris, Samuel J. Novario, Nathan M. Parzuchowski, Fei Yuan, Hergert, Heiko, Bogner, Scott K., Lietz, Justin G., Morris, Titus D., Novario, Samuel J., Parzuchowski, Nathan M., Yuan, Fei

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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 4 15%
Professor 3 12%
Professor > Associate Professor 3 12%
Student > Doctoral Student 2 8%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Physics and Astronomy 19 73%
Chemistry 3 12%
Unknown 4 15%
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 28 December 2016.
All research outputs
#20,376,559
of 22,925,760 outputs
Outputs from arXiv
#673,169
of 941,314 outputs
Outputs of similar age
#355,474
of 420,593 outputs
Outputs of similar age from arXiv
#14,062
of 16,540 outputs
Altmetric has tracked 22,925,760 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 941,314 research outputs from this source. They receive a mean Attention Score of 3.9. 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 420,593 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 16,540 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.