The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Systematic Review on Model Watermarking for Neural Networks
|
|---|---|
| Published in |
arXiv, November 2021
|
| DOI | 10.3389/fdata.2021.729663 |
| Pubmed ID | |
| Authors |
Franziska Boenisch |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 12% |
| Canada | 1 | 6% |
| United Kingdom | 1 | 6% |
| France | 1 | 6% |
| India | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 10 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Bachelor | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Student > Master | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 21 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Engineering | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 23 | 68% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 October 2023.
All research outputs
#3,325,033
of 25,387,668 outputs
Outputs from arXiv
#54,848
of 915,148 outputs
Outputs of similar age
#77,366
of 514,601 outputs
Outputs of similar age from arXiv
#1,486
of 26,824 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 93% 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 514,601 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 84% of its contemporaries.
We're also able to compare this research output to 26,824 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 94% of its contemporaries.