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Engineering digital motivation in businesses: a modelling and analysis framework

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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6 Dimensions

Readers on

mendeley
71 Mendeley
Title
Engineering digital motivation in businesses: a modelling and analysis framework
Published in
Requirements Engineering, May 2019
DOI 10.1007/s00766-019-00312-1
Authors

Alimohammad Shahri, Mahmood Hosseini, Jacqui Taylor, Angelos Stefanidis, Keith Phalp, Raian Ali

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Master 9 13%
Student > Bachelor 4 6%
Professor 3 4%
Student > Doctoral Student 3 4%
Other 15 21%
Unknown 24 34%
Readers by discipline Count As %
Computer Science 19 27%
Engineering 4 6%
Business, Management and Accounting 3 4%
Social Sciences 3 4%
Psychology 3 4%
Other 10 14%
Unknown 29 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 May 2019.
All research outputs
#13,959,654
of 23,148,322 outputs
Outputs from Requirements Engineering
#100
of 200 outputs
Outputs of similar age
#182,102
of 351,547 outputs
Outputs of similar age from Requirements Engineering
#2
of 2 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 47th percentile – i.e., 47% 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 351,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% 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.