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A comparison on scalability for batch big data processing on Apache Spark and Apache Flink

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
1 CiteULike
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Title
A comparison on scalability for batch big data processing on Apache Spark and Apache Flink
Published in
Big Data Analytics, March 2017
DOI 10.1186/s41044-016-0020-2
Authors

Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 37%
Student > Ph. D. Student 13 18%
Unspecified 10 14%
Student > Bachelor 10 14%
Student > Doctoral Student 5 7%
Other 7 10%
Readers by discipline Count As %
Computer Science 49 69%
Unspecified 13 18%
Engineering 6 8%
Decision Sciences 1 1%
Social Sciences 1 1%
Other 1 1%

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 10 October 2017.
All research outputs
#7,413,247
of 11,902,314 outputs
Outputs from Big Data Analytics
#12
of 19 outputs
Outputs of similar age
#155,027
of 273,672 outputs
Outputs of similar age from Big Data Analytics
#1
of 2 outputs
Altmetric has tracked 11,902,314 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one scored the same or higher as 7 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 273,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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