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Analysis of agriculture data using data mining techniques: application of big data

Overview of attention for article published in Journal of Big Data, July 2017
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Mentioned by

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2 X users

Citations

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163 Dimensions

Readers on

mendeley
505 Mendeley
Title
Analysis of agriculture data using data mining techniques: application of big data
Published in
Journal of Big Data, July 2017
DOI 10.1186/s40537-017-0077-4
Authors

Jharna Majumdar, Sneha Naraseeyappa, Shilpa Ankalaki

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

Geographical breakdown

Country Count As %
Unknown 505 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 69 14%
Student > Ph. D. Student 56 11%
Student > Bachelor 46 9%
Lecturer 28 6%
Student > Doctoral Student 24 5%
Other 101 20%
Unknown 181 36%
Readers by discipline Count As %
Computer Science 135 27%
Engineering 58 11%
Agricultural and Biological Sciences 41 8%
Business, Management and Accounting 19 4%
Social Sciences 7 1%
Other 50 10%
Unknown 195 39%
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 14 February 2018.
All research outputs
#15,622,436
of 23,228,787 outputs
Outputs from Journal of Big Data
#207
of 348 outputs
Outputs of similar age
#197,622
of 313,741 outputs
Outputs of similar age from Journal of Big Data
#6
of 6 outputs
Altmetric has tracked 23,228,787 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 348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 25th percentile – i.e., 25% 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 313,741 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 6 others from the same source and published within six weeks on either side of this one.