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Semantic tagging and linking of software engineering social content

Overview of attention for article published in Automated Software Engineering, March 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Semantic tagging and linking of software engineering social content
Published in
Automated Software Engineering, March 2014
DOI 10.1007/s10515-014-0146-2
Authors

Ebrahim Bagheri, Faezeh Ensan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Student > Master 9 20%
Student > Doctoral Student 6 13%
Student > Bachelor 5 11%
Lecturer 3 7%
Other 5 11%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 27 59%
Engineering 5 11%
Business, Management and Accounting 4 9%
Social Sciences 2 4%
Arts and Humanities 1 2%
Other 0 0%
Unknown 7 15%
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 11 March 2016.
All research outputs
#14,191,572
of 22,747,498 outputs
Outputs from Automated Software Engineering
#60
of 86 outputs
Outputs of similar age
#117,830
of 221,230 outputs
Outputs of similar age from Automated Software Engineering
#1
of 2 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 86 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 30th percentile – i.e., 30% 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 221,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% 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. This one has scored higher than all of them