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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Geometric Computational Electrodynamics with Variational Integrators and Discrete Differential Forms
|
|---|---|
| Chapter number | 19 |
| Book title |
Geometry, Mechanics, and Dynamics
|
| Published in |
arXiv, January 2015
|
| DOI | 10.1007/978-1-4939-2441-7_19 |
| Book ISBNs |
978-1-4939-2440-0, 978-1-4939-2441-7
|
| Authors |
Ari Stern, Yiying Tong, Mathieu Desbrun, Jerrold E. Marsden, Stern, Ari, Tong, Yiying, Desbrun, Mathieu, Marsden, Jerrold E. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 2% |
| France | 1 | 1% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 81 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 25% |
| Researcher | 17 | 20% |
| Student > Master | 8 | 9% |
| Other | 6 | 7% |
| Professor > Associate Professor | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 24 | 28% |
| Engineering | 16 | 18% |
| Mathematics | 12 | 14% |
| Computer Science | 8 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 20 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 October 2022.
All research outputs
#7,207,652
of 23,515,383 outputs
Outputs from arXiv
#155,108
of 972,155 outputs
Outputs of similar age
#97,193
of 356,383 outputs
Outputs of similar age from arXiv
#1,062
of 11,048 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 972,155 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 356,383 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 11,048 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.