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Analysis of Software Test Item Generation—— Comparison Between High Skilled and Low Skilled Engineers

Overview of attention for article published in Journal of Computer Science and Technology, March 2005
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About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 230)

Mentioned by

patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
Title
Analysis of Software Test Item Generation—— Comparison Between High Skilled and Low Skilled Engineers
Published in
Journal of Computer Science and Technology, March 2005
DOI 10.1007/s11390-005-0250-7
Authors

Masayuki Hirayama, Osamu Mizuno, Tohru Kikuno

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%
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 07 March 2017.
All research outputs
#7,942,395
of 23,911,072 outputs
Outputs from Journal of Computer Science and Technology
#48
of 230 outputs
Outputs of similar age
#21,597
of 61,330 outputs
Outputs of similar age from Journal of Computer Science and Technology
#1
of 2 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 230 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 19th percentile – i.e., 19% 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 61,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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