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Influence analysis of Github repositories

Overview of attention for article published in SpringerPlus, August 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
134 Mendeley
Title
Influence analysis of Github repositories
Published in
SpringerPlus, August 2016
DOI 10.1186/s40064-016-2897-7
Pubmed ID
Authors

Yan Hu, Jun Zhang, Xiaomei Bai, Shuo Yu, Zhuo Yang

Abstract

With the support of cloud computing techniques, social coding platforms have changed the style of software development. Github is now the most popular social coding platform and project hosting service. Software developers of various levels keep entering Github, and use Github to save their public and private software projects. The large amounts of software developers and software repositories on Github are posing new challenges to the world of software engineering. This paper tries to tackle one of the important problems: analyzing the importance and influence of Github repositories. We proposed a HITS based influence analysis on graphs that represent the star relationship between Github users and repositories. A weighted version of HITS is applied to the overall star graph, and generates a different set of top influential repositories other than the results from standard version of HITS algorithm. We also conduct the influential analysis on per-month star graph, and study the monthly influence ranking of top repositories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Unknown 133 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 13%
Student > Master 18 13%
Student > Postgraduate 15 11%
Student > Bachelor 14 10%
Researcher 7 5%
Other 20 15%
Unknown 42 31%
Readers by discipline Count As %
Computer Science 54 40%
Engineering 15 11%
Social Sciences 4 3%
Agricultural and Biological Sciences 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 10 7%
Unknown 46 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 September 2017.
All research outputs
#6,819,383
of 25,097,836 outputs
Outputs from SpringerPlus
#375
of 1,867 outputs
Outputs of similar age
#109,273
of 376,671 outputs
Outputs of similar age from SpringerPlus
#62
of 249 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 79% of its peers.
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 376,671 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 70% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.