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A bibliometric approach to tracking big data research trends

Overview of attention for article published in Journal of Big Data, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 366)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
20 X users
googleplus
2 Google+ users

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
228 Mendeley
Title
A bibliometric approach to tracking big data research trends
Published in
Journal of Big Data, September 2017
DOI 10.1186/s40537-017-0088-1
Authors

Ali Kalantari, Amirrudin Kamsin, Halim Shukri Kamaruddin, Nader Ale Ebrahim, Abdullah Gani, Ali Ebrahimi, Shahaboddin Shamshirband

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 228 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 15%
Student > Master 26 11%
Researcher 17 7%
Lecturer 12 5%
Student > Doctoral Student 11 5%
Other 46 20%
Unknown 82 36%
Readers by discipline Count As %
Business, Management and Accounting 29 13%
Computer Science 27 12%
Social Sciences 21 9%
Engineering 16 7%
Economics, Econometrics and Finance 10 4%
Other 37 16%
Unknown 88 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 03 February 2023.
All research outputs
#1,614,942
of 24,187,594 outputs
Outputs from Journal of Big Data
#39
of 366 outputs
Outputs of similar age
#32,776
of 324,611 outputs
Outputs of similar age from Journal of Big Data
#2
of 11 outputs
Altmetric has tracked 24,187,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 366 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 89% of its peers.
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 324,611 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.