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Towards Model-Driven V

Overview of attention for article published in International Journal on Software Tools for Technology Transfer, May 2014
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Mentioned by

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1 X user

Citations

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19 Dimensions

Readers on

mendeley
40 Mendeley
Title
Towards Model-Driven V&V assessment of railway control systems
Published in
International Journal on Software Tools for Technology Transfer, May 2014
DOI 10.1007/s10009-014-0320-7
Authors

Stefano Marrone, Francesco Flammini, Nicola Mazzocca, Roberto Nardone, Valeria Vittorini

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Master 8 20%
Professor > Associate Professor 3 8%
Professor 2 5%
Lecturer 2 5%
Other 5 13%
Unknown 11 28%
Readers by discipline Count As %
Computer Science 17 43%
Engineering 9 23%
Immunology and Microbiology 1 3%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from International Journal on Software Tools for Technology Transfer
#91
of 111 outputs
Outputs of similar age
#162,820
of 226,180 outputs
Outputs of similar age from International Journal on Software Tools for Technology Transfer
#1
of 1 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 11th percentile – i.e., 11% 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 226,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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