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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards quantum enhanced adversarial robustness in machine learning
|
|---|---|
| Published in |
Nature Machine Intelligence, May 2023
|
| DOI | 10.1038/s42256-023-00661-1 |
| Authors |
Maxwell T. West, Shu-Lok Tsang, Jia S. Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman |
Twitter Demographics
The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 15% |
| France | 2 | 10% |
| India | 1 | 5% |
| Japan | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 12 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 4 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 10 | 50% |
| Student > Ph. D. Student | 3 | 15% |
| Other | 2 | 10% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 10 | 50% |
| Engineering | 3 | 15% |
| Computer Science | 2 | 10% |
| Neuroscience | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 117. 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 13 July 2023.
All research outputs
#330,559
of 24,093,053 outputs
Outputs from Nature Machine Intelligence
#74
of 641 outputs
Outputs of similar age
#6,787
of 354,479 outputs
Outputs of similar age from Nature Machine Intelligence
#3
of 35 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 641 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.6. 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 354,479 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 98% of its contemporaries.
We're also able to compare this research output to 35 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.