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Big Data: from collection to visualization

Overview of attention for article published in Machine Learning, January 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
48 Mendeley
Title
Big Data: from collection to visualization
Published in
Machine Learning, January 2017
DOI 10.1007/s10994-016-5622-4
Authors

Mohammed Ghesmoune, Hanene Azzag, Salima Benbernou, Mustapha Lebbah, Tarn Duong, Mourad Ouziri

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Ph. D. Student 8 17%
Student > Doctoral Student 6 13%
Student > Bachelor 4 8%
Researcher 3 6%
Other 5 10%
Unknown 12 25%
Readers by discipline Count As %
Computer Science 23 48%
Engineering 5 10%
Social Sciences 2 4%
Psychology 2 4%
Mathematics 1 2%
Other 2 4%
Unknown 13 27%
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 12 January 2017.
All research outputs
#15,423,393
of 22,931,367 outputs
Outputs from Machine Learning
#663
of 967 outputs
Outputs of similar age
#257,495
of 421,976 outputs
Outputs of similar age from Machine Learning
#3
of 6 outputs
Altmetric has tracked 22,931,367 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 967 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% 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 421,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.