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A domain keyword analysis approach extending Term Frequency-Keyword Active Index with Google Word2Vec model

Overview of attention for article published in Scientometrics, November 2017
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Mentioned by

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1 X user

Citations

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Readers on

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83 Mendeley
Title
A domain keyword analysis approach extending Term Frequency-Keyword Active Index with Google Word2Vec model
Published in
Scientometrics, November 2017
DOI 10.1007/s11192-017-2574-9
Authors

Kai Hu, Huayi Wu, Kunlun Qi, Jingmin Yu, Siluo Yang, Tianxing Yu, Jie Zheng, Bo Liu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Researcher 12 14%
Student > Master 8 10%
Other 7 8%
Student > Bachelor 5 6%
Other 14 17%
Unknown 23 28%
Readers by discipline Count As %
Computer Science 27 33%
Business, Management and Accounting 9 11%
Social Sciences 7 8%
Engineering 5 6%
Arts and Humanities 3 4%
Other 9 11%
Unknown 23 28%
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 26 February 2018.
All research outputs
#20,453,782
of 23,009,818 outputs
Outputs from Scientometrics
#2,504
of 2,690 outputs
Outputs of similar age
#372,803
of 437,893 outputs
Outputs of similar age from Scientometrics
#52
of 61 outputs
Altmetric has tracked 23,009,818 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 2,690 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 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 437,893 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 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.