| Title |
NUSMV: a new symbolic model checker
|
|---|---|
| Published in |
International Journal on Software Tools for Technology Transfer, March 2000
|
| DOI | 10.1007/s100090050046 |
| Authors |
Alessandro Cimatti, Edmund Clarke, Fausto Giunchiglia, Marco Roveri |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 4% |
| United States | 2 | 2% |
| Italy | 2 | 2% |
| Australia | 2 | 2% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Vietnam | 1 | <1% |
| Bangladesh | 1 | <1% |
| Hungary | 1 | <1% |
| Other | 7 | 5% |
| Unknown | 110 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 28% |
| Student > Master | 25 | 19% |
| Researcher | 16 | 12% |
| Student > Doctoral Student | 9 | 7% |
| Student > Postgraduate | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 18 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 94 | 71% |
| Engineering | 14 | 11% |
| Environmental Science | 1 | <1% |
| Economics, Econometrics and Finance | 1 | <1% |
| Agricultural and Biological Sciences | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 20 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 July 2016.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from International Journal on Software Tools for Technology Transfer
#17
of 111 outputs
Outputs of similar age
#12,883
of 40,482 outputs
Outputs of similar age from International Journal on Software Tools for Technology Transfer
#1
of 2 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 111 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 40,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them