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Recent progress and trends in predictive visual analytics

Overview of attention for article published in Frontiers of Computer Science, October 2016
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1 X user

Readers on

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120 Mendeley
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Title
Recent progress and trends in predictive visual analytics
Published in
Frontiers of Computer Science, October 2016
DOI 10.1007/s11704-016-6028-y
Authors

Junhua Lu, Wei Chen, Yuxin Ma, Junming Ke, Zongzhuang Li, Fan Zhang, Ross Maciejewski

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

Geographical breakdown

Country Count As %
Germany 1 <1%
Thailand 1 <1%
Canada 1 <1%
Unknown 117 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 23%
Student > Master 27 23%
Student > Doctoral Student 10 8%
Student > Bachelor 7 6%
Researcher 6 5%
Other 15 13%
Unknown 28 23%
Readers by discipline Count As %
Computer Science 64 53%
Engineering 10 8%
Business, Management and Accounting 3 3%
Social Sciences 3 3%
Decision Sciences 2 2%
Other 5 4%
Unknown 33 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 29 December 2017.
All research outputs
#15,483,707
of 23,008,860 outputs
Outputs from Frontiers of Computer Science
#52
of 465 outputs
Outputs of similar age
#197,985
of 314,813 outputs
Outputs of similar age from Frontiers of Computer Science
#1
of 5 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 60% 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 314,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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