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Supervised machine learning predictive analytics for alumni income

Overview of attention for article published in Journal of Big Data, January 2022
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Mentioned by

twitter
1 X user

Readers on

mendeley
72 Mendeley
Title
Supervised machine learning predictive analytics for alumni income
Published in
Journal of Big Data, January 2022
DOI 10.1186/s40537-022-00559-6
Authors

Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Neil Hernandez-Gress, Jose Luis Preciado, Hector G. Ceballos

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

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 10%
Lecturer 4 6%
Student > Master 4 6%
Researcher 3 4%
Student > Bachelor 2 3%
Other 5 7%
Unknown 47 65%
Readers by discipline Count As %
Computer Science 10 14%
Engineering 4 6%
Mathematics 2 3%
Business, Management and Accounting 2 3%
Agricultural and Biological Sciences 2 3%
Other 2 3%
Unknown 50 69%
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 25 January 2022.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from Journal of Big Data
#343
of 362 outputs
Outputs of similar age
#425,312
of 503,333 outputs
Outputs of similar age from Journal of Big Data
#9
of 9 outputs
Altmetric has tracked 23,885,338 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 362 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. 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 503,333 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 9 others from the same source and published within six weeks on either side of this one.