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Transfer learning in effort estimation

Overview of attention for article published in Empirical Software Engineering, March 2014
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Mentioned by

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1 Facebook page

Citations

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74 Dimensions

Readers on

mendeley
109 Mendeley
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Title
Transfer learning in effort estimation
Published in
Empirical Software Engineering, March 2014
DOI 10.1007/s10664-014-9300-5
Authors

Ekrem Kocaguneli, Tim Menzies, Emilia Mendes

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Turkey 1 <1%
China 1 <1%
Norway 1 <1%
Unknown 105 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 28%
Student > Master 14 13%
Student > Doctoral Student 9 8%
Professor > Associate Professor 8 7%
Lecturer 6 6%
Other 24 22%
Unknown 18 17%
Readers by discipline Count As %
Computer Science 64 59%
Engineering 10 9%
Unspecified 3 3%
Mathematics 2 2%
Earth and Planetary Sciences 1 <1%
Other 1 <1%
Unknown 28 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 July 2015.
All research outputs
#20,284,384
of 22,818,766 outputs
Outputs from Empirical Software Engineering
#624
of 705 outputs
Outputs of similar age
#192,843
of 225,336 outputs
Outputs of similar age from Empirical Software Engineering
#6
of 9 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 225,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.