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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Neural State Classification for Hybrid Systems
|
|---|---|
| Chapter number | 25 |
| Book title |
Automated Technology for Verification and Analysis
|
| Published in |
arXiv, October 2018
|
| DOI | 10.1007/978-3-030-01090-4_25 |
| Book ISBNs |
978-3-03-001089-8, 978-3-03-001090-4
|
| Authors |
Dung Phan, Nicola Paoletti, Timothy Zhang, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Phan, Dung, Paoletti, Nicola, Zhang, Timothy, Grosu, Radu, Smolka, Scott A., Stoller, Scott D. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Researcher | 3 | 17% |
| Student > Master | 2 | 11% |
| Professor | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 33% |
| Engineering | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unspecified | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 July 2018.
All research outputs
#15,185,041
of 24,099,692 outputs
Outputs from arXiv
#305,333
of 1,020,419 outputs
Outputs of similar age
#196,955
of 350,566 outputs
Outputs of similar age from arXiv
#9,080
of 26,044 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 66% 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 350,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26,044 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.