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Automatic Identification and Classification of Software Development Video Tutorial Fragments

Overview of attention for article published in IEEE Transactions on Software Engineering, December 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
3 patents

Readers on

mendeley
34 Mendeley
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Article details
Title
Automatic Identification and Classification of Software Development Video Tutorial Fragments
Published in
IEEE Transactions on Software Engineering, December 2017
DOI 10.1109/tse.2017.2779479
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 5 15%
Student > Ph. D. Student 5 15%
Student > Master 3 9%
Researcher 3 9%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 14 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 14 41%
Social Sciences 3 9%
Engineering 1 3%
Unknown 16 47%
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 14 July 2026.
All research outputs
#10,882,271
of 31,393,817 outputs
Outputs from IEEE Transactions on Software Engineering
#2,963
of 7,201 outputs
Outputs of similar age
#168,007
of 470,266 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#41
of 82 outputs
Altmetric has tracked 31,393,817 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,201 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 23rd percentile – i.e., 23% 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 470,266 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 82 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.