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X Demographics
Mendeley readers
Attention Score in Context
Title |
Geometric learning of knot topology
|
---|---|
Published in |
Soft Matter, January 2024
|
DOI | 10.1039/d3sm01199b |
Pubmed ID | |
Authors |
Joseph Lahoud Sleiman, Filippo Conforto, Yair Augusto Gutierrez Fosado, Davide Michieletto |
X Demographics
The data shown below were collected from the profiles of 22 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 | 7 | 32% |
United States | 3 | 14% |
Austria | 1 | 5% |
Thailand | 1 | 5% |
Japan | 1 | 5% |
Albania | 1 | 5% |
Unknown | 8 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 12 | 55% |
Members of the public | 9 | 41% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 33% |
Student > Postgraduate | 1 | 17% |
Unknown | 3 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 33% |
Physics and Astronomy | 1 | 17% |
Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 15 April 2024.
All research outputs
#3,016,792
of 25,713,737 outputs
Outputs from Soft Matter
#278
of 8,956 outputs
Outputs of similar age
#43,302
of 352,367 outputs
Outputs of similar age from Soft Matter
#5
of 129 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,956 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 96% 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 352,367 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 87% of its contemporaries.
We're also able to compare this research output to 129 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 96% of its contemporaries.