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Model-based testing as a service

Overview of attention for article published in International Journal on Software Tools for Technology Transfer, March 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
Title
Model-based testing as a service
Published in
International Journal on Software Tools for Technology Transfer, March 2017
DOI 10.1007/s10009-017-0449-2
Authors

Steffen Herbold, Andreas Hoffmann

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Student > Doctoral Student 3 21%
Student > Ph. D. Student 3 21%
Professor 1 7%
Other 1 7%
Other 2 14%
Readers by discipline Count As %
Computer Science 9 64%
Unspecified 2 14%
Business, Management and Accounting 1 7%
Energy 1 7%
Engineering 1 7%
Other 0 0%

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 07 March 2017.
All research outputs
#4,984,535
of 9,159,176 outputs
Outputs from International Journal on Software Tools for Technology Transfer
#19
of 46 outputs
Outputs of similar age
#147,081
of 253,513 outputs
Outputs of similar age from International Journal on Software Tools for Technology Transfer
#3
of 3 outputs
Altmetric has tracked 9,159,176 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 46 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 27 of them.
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 253,513 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.