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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Evasion Attacks against Machine Learning at Test Time
|
|---|---|
| Chapter number | 25 |
| Book title |
Machine Learning and Knowledge Discovery in Databases
|
| Published in |
arXiv, August 2017
|
| DOI | 10.1007/978-3-642-40994-3_25 |
| Book ISBNs |
978-3-64-240993-6, 978-3-64-240994-3
|
| Authors |
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli, Nedim Šrndić, Biggio, Battista, Corona, Igino, Maiorca, Davide, Nelson, Blaine, Šrndić, Nedim, Laskov, Pavel, Giacinto, Giorgio, Roli, Fabio |
X Demographics
The data shown below were collected from the profiles of 49 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 States | 11 | 22% |
| United Kingdom | 4 | 8% |
| Italy | 3 | 6% |
| Russia | 1 | 2% |
| Germany | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Australia | 1 | 2% |
| France | 1 | 2% |
| Finland | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 22 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 38 | 78% |
| Scientists | 11 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 640 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | <1% |
| Korea, Republic of | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 635 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 135 | 21% |
| Student > Master | 103 | 16% |
| Student > Bachelor | 55 | 9% |
| Researcher | 52 | 8% |
| Student > Doctoral Student | 19 | 3% |
| Other | 75 | 12% |
| Unknown | 201 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 314 | 49% |
| Engineering | 56 | 9% |
| Mathematics | 12 | 2% |
| Unspecified | 9 | 1% |
| Physics and Astronomy | 7 | 1% |
| Other | 22 | 3% |
| Unknown | 220 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 08 August 2023.
All research outputs
#996,146
of 25,552,933 outputs
Outputs from arXiv
#13,454
of 928,033 outputs
Outputs of similar age
#20,151
of 326,035 outputs
Outputs of similar age from arXiv
#242
of 16,186 outputs
Altmetric has tracked 25,552,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 928,033 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% 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 326,035 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 93% of its contemporaries.
We're also able to compare this research output to 16,186 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 98% of its contemporaries.