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 |
Idea: Unwinding Based Model-Checking and Testing for Non-Interference on EFSMs
|
|---|---|
| Published by |
Lecture notes in computer science, October 2015
|
| DOI | 10.1007/978-3-319-15618-7 |
| ISBNs |
978-3-31-915618-7, 978-3-31-915617-0
|
| Authors |
Ochoa, M., Cuellar, J., Pretschner, A., Hallgren, Per A. |
| Editors |
Piessens, Frank, Caballero, Juan, Bielova, Nataliia |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 113 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 24% |
| Student > Master | 29 | 24% |
| Researcher | 13 | 11% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 20 | 17% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 85 | 71% |
| Engineering | 14 | 12% |
| Business, Management and Accounting | 2 | 2% |
| Sports and Recreations | 1 | <1% |
| Unspecified | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 14 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 22 August 2021.
All research outputs
#4,609,824
of 22,830,751 outputs
Outputs from Lecture notes in computer science
#1,513
of 8,126 outputs
Outputs of similar age
#63,128
of 283,225 outputs
Outputs of similar age from Lecture notes in computer science
#59
of 171 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 283,225 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 77% of its contemporaries.
We're also able to compare this research output to 171 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 65% of its contemporaries.