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Using Mathematica for Quantum Mechanics

Overview of attention for book
Overall attention for this book and its chapters
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
34 X users
q&a
1 Q&A thread

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Using Mathematica for Quantum Mechanics
Published by
arXiv, July 2019
DOI 10.1007/978-981-13-7588-0
ISBNs
978-9-81-137587-3, 978-9-81-137588-0
Authors

Roman Schmied, Schmied, Roman

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 X users 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 10%
Researcher 12 8%
Student > Bachelor 9 6%
Professor 5 3%
Student > Master 3 2%
Other 5 3%
Unknown 96 67%
Readers by discipline Count As %
Physics and Astronomy 30 21%
Chemistry 4 3%
Engineering 4 3%
Mathematics 2 1%
Nursing and Health Professions 1 <1%
Other 5 3%
Unknown 98 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 31 August 2023.
All research outputs
#1,659,444
of 25,374,917 outputs
Outputs from arXiv
#24,950
of 914,146 outputs
Outputs of similar age
#34,801
of 359,731 outputs
Outputs of similar age from arXiv
#601
of 20,129 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 914,146 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 359,731 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 90% of its contemporaries.
We're also able to compare this research output to 20,129 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 97% of its contemporaries.