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Teaching requirements elicitation interviews: an empirical study of learning from mistakes

Overview of attention for article published in Requirements Engineering, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 208)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

news
3 news outlets
twitter
6 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
75 Mendeley
Title
Teaching requirements elicitation interviews: an empirical study of learning from mistakes
Published in
Requirements Engineering, May 2019
DOI 10.1007/s00766-019-00313-0
Authors

Muneera Bano, Didar Zowghi, Alessio Ferrari, Paola Spoletini, Beatrice Donati

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 12%
Lecturer 8 11%
Student > Master 7 9%
Student > Bachelor 6 8%
Researcher 4 5%
Other 14 19%
Unknown 27 36%
Readers by discipline Count As %
Computer Science 23 31%
Social Sciences 5 7%
Engineering 4 5%
Agricultural and Biological Sciences 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 10 13%
Unknown 29 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 September 2019.
All research outputs
#1,312,644
of 24,832,302 outputs
Outputs from Requirements Engineering
#1
of 208 outputs
Outputs of similar age
#29,328
of 357,354 outputs
Outputs of similar age from Requirements Engineering
#1
of 2 outputs
Altmetric has tracked 24,832,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 99% 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 357,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
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