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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Why Use Sobolev Metrics on the Space of Curves
|
|---|---|
| Published by |
arXiv, February 2015
|
| DOI | 10.1007/978-3-319-22957-7 |
| ISBNs |
978-3-31-922956-0, 978-3-31-922957-7
|
| Authors |
Martin Bauer, Martins Bruveris, Peter W. Michor |
| Editors |
Turaga, Pavan K., Srivastava, Anuj |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Japan | 1 | 2% |
| China | 1 | 2% |
| Algeria | 1 | 2% |
| Unknown | 60 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 34% |
| Researcher | 11 | 17% |
| Professor > Associate Professor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 29% |
| Engineering | 14 | 22% |
| Mathematics | 7 | 11% |
| Agricultural and Biological Sciences | 3 | 5% |
| Neuroscience | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 12 | 18% |
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 18 July 2019.
All research outputs
#18,601,965
of 23,041,514 outputs
Outputs from arXiv
#538,997
of 946,399 outputs
Outputs of similar age
#262,298
of 359,012 outputs
Outputs of similar age from arXiv
#4,578
of 10,916 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 946,399 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% 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 359,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,916 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.