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XTraQue: traceability for product line systems

Overview of attention for article published in Software and Systems Modeling, September 2007
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Mentioned by

patent
12 patents

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
2 CiteULike
Title
XTraQue: traceability for product line systems
Published in
Software and Systems Modeling, September 2007
DOI 10.1007/s10270-007-0066-8
Authors

Waraporn Jirapanthong, Andrea Zisman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
Brazil 3 4%
China 2 3%
France 1 1%
Colombia 1 1%
Spain 1 1%
Unknown 60 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 37%
Student > Master 19 27%
Researcher 5 7%
Lecturer 4 6%
Student > Doctoral Student 3 4%
Other 10 14%
Unknown 4 6%
Readers by discipline Count As %
Computer Science 55 77%
Engineering 5 7%
Business, Management and Accounting 2 3%
Agricultural and Biological Sciences 1 1%
Philosophy 1 1%
Other 2 3%
Unknown 5 7%
Attention Score in Context

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 03 January 2017.
All research outputs
#7,866,480
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#135
of 721 outputs
Outputs of similar age
#25,563
of 71,243 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 1 outputs
Altmetric has tracked 23,849,058 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 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 71% 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 71,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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