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Software architectures for big data: a systematic literature review

Overview of attention for article published in Big Data Analytics, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
135 Mendeley
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Title
Software architectures for big data: a systematic literature review
Published in
Big Data Analytics, August 2020
DOI 10.1186/s41044-020-00045-1
Authors

Cigdem Avci, Bedir Tekinerdogan, Ioannis N. Athanasiadis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 16%
Student > Bachelor 14 10%
Student > Doctoral Student 10 7%
Student > Ph. D. Student 9 7%
Lecturer 7 5%
Other 22 16%
Unknown 52 39%
Readers by discipline Count As %
Computer Science 56 41%
Business, Management and Accounting 6 4%
Engineering 5 4%
Agricultural and Biological Sciences 3 2%
Unspecified 2 1%
Other 11 8%
Unknown 52 39%
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 20 January 2021.
All research outputs
#7,636,252
of 23,262,131 outputs
Outputs from Big Data Analytics
#12
of 32 outputs
Outputs of similar age
#162,731
of 398,082 outputs
Outputs of similar age from Big Data Analytics
#1
of 2 outputs
Altmetric has tracked 23,262,131 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 398,082 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 55% of its contemporaries.
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