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An integrated strategy to systematically understand and manage quality in use for web applications

Overview of attention for article published in Requirements Engineering, August 2011
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Mentioned by

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1 X user

Citations

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25 Dimensions

Readers on

mendeley
71 Mendeley
Title
An integrated strategy to systematically understand and manage quality in use for web applications
Published in
Requirements Engineering, August 2011
DOI 10.1007/s00766-011-0128-x
Authors

Philip Lew, Luis Olsina, Pablo Becker, Li Zhang

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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 3%
Germany 1 1%
United Kingdom 1 1%
Argentina 1 1%
Spain 1 1%
Unknown 65 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 30%
Student > Master 15 21%
Researcher 8 11%
Student > Bachelor 6 8%
Student > Postgraduate 6 8%
Other 8 11%
Unknown 7 10%
Readers by discipline Count As %
Computer Science 53 75%
Engineering 5 7%
Decision Sciences 2 3%
Environmental Science 1 1%
Arts and Humanities 1 1%
Other 1 1%
Unknown 8 11%
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 22 October 2012.
All research outputs
#15,255,201
of 22,684,168 outputs
Outputs from Requirements Engineering
#136
of 199 outputs
Outputs of similar age
#85,259
of 120,725 outputs
Outputs of similar age from Requirements Engineering
#2
of 2 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 12th percentile – i.e., 12% 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 120,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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.