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Mendeley readers
Attention Score in Context
| Chapter title |
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
|
|---|---|
| Chapter number | 5 |
| Book title |
Computer Aided Verification
|
| Published in |
Lecture notes in computer science, July 2017
|
| DOI | 10.1007/978-3-319-63387-9_5 |
| Book ISBNs |
978-3-31-963386-2, 978-3-31-963387-9
|
| Authors |
Guy Katz, Clark Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer, Katz, Guy, Barrett, Clark, Dill, David L., Julian, Kyle, Kochenderfer, Mykel J. |
Mendeley readers
The data shown below were compiled from readership statistics for 586 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 584 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 167 | 28% |
| Student > Master | 85 | 15% |
| Researcher | 73 | 12% |
| Student > Bachelor | 47 | 8% |
| Student > Doctoral Student | 20 | 3% |
| Other | 58 | 10% |
| Unknown | 136 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 307 | 52% |
| Engineering | 90 | 15% |
| Mathematics | 16 | 3% |
| Physics and Astronomy | 14 | 2% |
| Decision Sciences | 5 | <1% |
| Other | 15 | 3% |
| Unknown | 139 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 03 January 2024.
All research outputs
#542,350
of 25,177,382 outputs
Outputs from Lecture notes in computer science
#49
of 8,153 outputs
Outputs of similar age
#11,351
of 317,995 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 121 outputs
Altmetric has tracked 25,177,382 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 317,995 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 96% of its contemporaries.
We're also able to compare this research output to 121 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.