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Detecting impact factor manipulation with data mining techniques

Overview of attention for article published in Scientometrics, October 2016
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Mentioned by

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2 X users

Citations

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15 Dimensions

Readers on

mendeley
17 Mendeley
Title
Detecting impact factor manipulation with data mining techniques
Published in
Scientometrics, October 2016
DOI 10.1007/s11192-016-2144-6
Authors

Dong-Hui Yang, Xin Li, Xiaoxia Sun, Jie Wan

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Researcher 4 24%
Student > Master 3 18%
Librarian 2 12%
Professor 1 6%
Other 2 12%
Readers by discipline Count As %
Computer Science 7 41%
Social Sciences 2 12%
Engineering 2 12%
Medicine and Dentistry 2 12%
Psychology 1 6%
Other 2 12%
Unknown 1 6%
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 15 October 2016.
All research outputs
#17,820,151
of 22,893,031 outputs
Outputs from Scientometrics
#2,229
of 2,686 outputs
Outputs of similar age
#228,582
of 320,020 outputs
Outputs of similar age from Scientometrics
#40
of 51 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,686 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 15th percentile – i.e., 15% 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 320,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.