| Title |
Modeling algorithmic bias: simplicial complexes and evolving network topologies
|
|---|---|
| Published in |
Applied Network Science, August 2022
|
| DOI | 10.1007/s41109-022-00495-7 |
| Authors |
Valentina Pansanella, Giulio Rossetti, Letizia Milli |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
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 % |
|---|---|---|
| Unspecified | 1 | 17% |
| Researcher | 1 | 17% |
| Unknown | 4 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Mathematics | 1 | 17% |
| Unknown | 4 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 August 2022.
All research outputs
#7,189,576
of 25,578,098 outputs
Outputs from Applied Network Science
#194
of 583 outputs
Outputs of similar age
#124,642
of 417,739 outputs
Outputs of similar age from Applied Network Science
#7
of 25 outputs
Altmetric has tracked 25,578,098 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 583 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 66% 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 417,739 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 70% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.