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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of complexity for digital twins of cities
|
|---|---|
| Published in |
Nature Computational Science, May 2023
|
| DOI | 10.1038/s43588-023-00431-4 |
| Pubmed ID | |
| Authors |
G. Caldarelli, E. Arcaute, M. Barthelemy, M. Batty, C. Gershenson, D. Helbing, S. Mancuso, Y. Moreno, J. J. Ramasco, C. Rozenblat, A. Sánchez, J. L. Fernández-Villacañas |
X Demographics
The data shown below were collected from the profiles of 87 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 | 13 | 15% |
| United Kingdom | 6 | 7% |
| Spain | 5 | 6% |
| Italy | 3 | 3% |
| France | 3 | 3% |
| New Zealand | 2 | 2% |
| Colombia | 2 | 2% |
| Canada | 2 | 2% |
| Belgium | 2 | 2% |
| Other | 19 | 22% |
| Unknown | 30 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 61% |
| Scientists | 33 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Ph. D. Student | 9 | 16% |
| Professor | 4 | 7% |
| Unspecified | 4 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 20 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 6 | 11% |
| Engineering | 5 | 9% |
| Environmental Science | 5 | 9% |
| Unspecified | 4 | 7% |
| Computer Science | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 22 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 06 April 2024.
All research outputs
#799,992
of 25,661,882 outputs
Outputs from Nature Computational Science
#67
of 602 outputs
Outputs of similar age
#17,201
of 409,406 outputs
Outputs of similar age from Nature Computational Science
#8
of 44 outputs
Altmetric has tracked 25,661,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 602 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has done well, scoring higher than 88% 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 409,406 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.