↓ Skip to main content

Big data clustering with varied density based on MapReduce

Overview of attention for article published in Journal of Big Data, August 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Big data clustering with varied density based on MapReduce
Published in
Journal of Big Data, August 2019
DOI 10.1186/s40537-019-0236-x
Authors

Safanaz Heidari, Mahmood Alborzi, Reza Radfar, Mohammad Ali Afsharkazemi, Ali Rajabzadeh Ghatari

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 80%
Unspecified 1 10%
Student > Ph. D. Student 1 10%
Readers by discipline Count As %
Decision Sciences 8 80%
Computer Science 1 10%
Unspecified 1 10%

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 22 August 2019.
All research outputs
#8,495,858
of 13,536,695 outputs
Outputs from Journal of Big Data
#112
of 161 outputs
Outputs of similar age
#109,188
of 188,422 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 13,536,695 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 161 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 6th percentile – i.e., 6% 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 188,422 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 1 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