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A comprehensive model for management and validation of federal big data analytical systems

Overview of attention for article published in Big Data Analytics, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
38 Mendeley
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Title
A comprehensive model for management and validation of federal big data analytical systems
Published in
Big Data Analytics, January 2017
DOI 10.1186/s41044-016-0017-x
Authors

Feras A. Batarseh, Ruixin Yang, Lin Deng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Student > Ph. D. Student 8 21%
Student > Doctoral Student 5 13%
Student > Postgraduate 2 5%
Researcher 2 5%
Other 2 5%
Unknown 10 26%
Readers by discipline Count As %
Computer Science 13 34%
Engineering 5 13%
Business, Management and Accounting 5 13%
Biochemistry, Genetics and Molecular Biology 1 3%
Psychology 1 3%
Other 1 3%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 February 2020.
All research outputs
#7,607,773
of 23,195,584 outputs
Outputs from Big Data Analytics
#12
of 32 outputs
Outputs of similar age
#142,538
of 422,785 outputs
Outputs of similar age from Big Data Analytics
#2
of 3 outputs
Altmetric has tracked 23,195,584 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 20 of them.
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 422,785 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.