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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sig‐Wasserstein GANs for conditional time series generation
|
|---|---|
| Published in |
Mathematical Finance, November 2023
|
| DOI | 10.1111/mafi.12423 |
| Authors |
Shujian Liao, Hao Ni, Marc Sabate‐Vidales, Lukasz Szpruch, Magnus Wiese, Baoren Xiao |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Unspecified | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 7 | 29% |
| Computer Science | 4 | 17% |
| Unspecified | 4 | 17% |
| Agricultural and Biological Sciences | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 November 2023.
All research outputs
#22,245,490
of 24,825,035 outputs
Outputs from Mathematical Finance
#147
of 155 outputs
Outputs of similar age
#160,865
of 202,535 outputs
Outputs of similar age from Mathematical Finance
#1
of 1 outputs
Altmetric has tracked 24,825,035 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 155 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 202,535 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them