You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications
|
|---|---|
| Published by |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-662-45231-8 |
| ISBNs |
978-3-66-245230-1, 978-3-66-245231-8
|
| Authors |
Tiziana Margaria, Bernhard Steffen |
| Editors |
Margaria-Steffen, Tiziana, Steffen, Bernhard |
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 % |
|---|---|---|
| United States | 2 | 33% |
| United Kingdom | 1 | 17% |
| Japan | 1 | 17% |
| Ecuador | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Student > Postgraduate | 3 | 16% |
| Lecturer | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 4 | 21% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 53% |
| Agricultural and Biological Sciences | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Engineering | 1 | 5% |
| Design | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 01 January 2020.
All research outputs
#3,715,638
of 22,862,742 outputs
Outputs from Lecture notes in computer science
#875
of 8,127 outputs
Outputs of similar age
#44,434
of 305,632 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 280 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% 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 305,632 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 85% of its contemporaries.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.