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Software as storytelling: A systematic literature review

Overview of attention for article published in Computer Science Review, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Software as storytelling: A systematic literature review
Published in
Computer Science Review, February 2023
DOI 10.1016/j.cosrev.2022.100517
Authors

Paolo Ciancarini, Mirko Farina, Ozioma Okonicha, Marina Smirnova, Giancarlo Succi

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 14%
Student > Master 3 8%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 2 6%
Professor 1 3%
Other 3 8%
Unknown 20 56%
Readers by discipline Count As %
Computer Science 7 19%
Business, Management and Accounting 2 6%
Economics, Econometrics and Finance 2 6%
Linguistics 1 3%
Psychology 1 3%
Other 3 8%
Unknown 20 56%
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 26 November 2022.
All research outputs
#14,798,870
of 25,392,582 outputs
Outputs from Computer Science Review
#90
of 145 outputs
Outputs of similar age
#190,523
of 471,974 outputs
Outputs of similar age from Computer Science Review
#4
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 37th percentile – i.e., 37% 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 471,974 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.