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Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization

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

twitter
2 X users

Citations

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60 Dimensions

Readers on

mendeley
107 Mendeley
Title
Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization
Published in
Scientometrics, May 2017
DOI 10.1007/s11192-017-2383-1
Authors

Jiming Hu, Yin Zhang

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

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 13%
Researcher 14 13%
Student > Master 8 7%
Student > Doctoral Student 8 7%
Student > Bachelor 7 7%
Other 27 25%
Unknown 29 27%
Readers by discipline Count As %
Computer Science 19 18%
Social Sciences 17 16%
Business, Management and Accounting 16 15%
Engineering 4 4%
Agricultural and Biological Sciences 3 3%
Other 17 16%
Unknown 31 29%
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 June 2017.
All research outputs
#17,892,691
of 22,971,207 outputs
Outputs from Scientometrics
#2,231
of 2,690 outputs
Outputs of similar age
#221,983
of 310,587 outputs
Outputs of similar age from Scientometrics
#41
of 54 outputs
Altmetric has tracked 22,971,207 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 2,690 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 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 310,587 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.