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X Demographics
Mendeley readers
Attention Score in Context
| Title |
k-Schur Functions and Affine Schubert Calculus
|
|---|---|
| Published by |
arXiv, June 2014
|
| DOI | 10.1007/978-1-4939-0682-6 |
| ISBNs |
978-1-4939-0681-9, 978-1-4939-0682-6, 978-1-4939-4972-4
|
| Authors |
Thomas Lam, Luc Lapointe, Jennifer Morse, Anne Schilling, Mark Shimozono, Mike Zabrocki, Lam, Thomas, Lapointe, Luc, Morse, Jennifer, Schilling, Anne, Shimozono, Mark, Zabrocki, Mike |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Uruguay | 1 | 25% |
| Mexico | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 29% |
| Professor > Associate Professor | 4 | 19% |
| Researcher | 3 | 14% |
| Professor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 16 | 76% |
| Computer Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 2 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 March 2018.
All research outputs
#7,664,927
of 23,335,153 outputs
Outputs from arXiv
#171,202
of 961,202 outputs
Outputs of similar age
#74,735
of 230,065 outputs
Outputs of similar age from arXiv
#906
of 9,598 outputs
Altmetric has tracked 23,335,153 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 961,202 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 230,065 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 54% of its contemporaries.
We're also able to compare this research output to 9,598 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 90% of its contemporaries.