| Title |
The Complexity of Translationally Invariant Spin Chains with Low Local Dimension
|
|---|---|
| Published in |
Annales Henri Poincaré, October 2017
|
| DOI | 10.1007/s00023-017-0609-7 |
| Authors |
Johannes Bausch, Toby Cubitt, Maris Ozols |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 9% |
| Mexico | 1 | 9% |
| United States | 1 | 9% |
| United Kingdom | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Student > Master | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 3 | 13% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 18 | 78% |
| Computer Science | 4 | 17% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 30 November 2020.
All research outputs
#1,854,042
of 24,010,679 outputs
Outputs from Annales Henri Poincaré
#5
of 526 outputs
Outputs of similar age
#38,003
of 332,468 outputs
Outputs of similar age from Annales Henri Poincaré
#1
of 18 outputs
Altmetric has tracked 24,010,679 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 526 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 99% 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 332,468 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 18 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 99% of its contemporaries.