| Title |
Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems
|
|---|---|
| Published in |
EPJ Data Science, September 2023
|
| DOI | 10.1140/epjds/s13688-023-00400-x |
| Authors |
Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, David Rushing Dewhurst, Tyler J. Gray, Morgan R. Frank, Andrew J. Reagan, Christopher M. Danforth |
X Demographics
The data shown below were collected from the profiles of 12 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 States | 7 | 58% |
| Canada | 1 | 8% |
| Mexico | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 2 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 67% |
| Members of the public | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Researcher | 3 | 11% |
| Other | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Professor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 14% |
| Mathematics | 3 | 11% |
| Engineering | 2 | 7% |
| Social Sciences | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 16 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 10 October 2023.
All research outputs
#4,819,947
of 25,658,139 outputs
Outputs from EPJ Data Science
#301
of 457 outputs
Outputs of similar age
#77,465
of 355,114 outputs
Outputs of similar age from EPJ Data Science
#10
of 17 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one is in the 34th percentile – i.e., 34% 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 355,114 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 78% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.