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Summarizing large text collection using topic modeling and clustering based on MapReduce framework

Overview of attention for article published in Journal of Big Data, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
4 tweeters
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
107 Mendeley
Title
Summarizing large text collection using topic modeling and clustering based on MapReduce framework
Published in
Journal of Big Data, June 2015
DOI 10.1186/s40537-015-0020-5
Authors

N K Nagwani

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Greece 1 <1%
Brazil 1 <1%
Unknown 103 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Student > Master 16 15%
Researcher 10 9%
Student > Doctoral Student 7 7%
Student > Bachelor 6 6%
Other 23 21%
Unknown 21 20%
Readers by discipline Count As %
Computer Science 63 59%
Engineering 8 7%
Business, Management and Accounting 6 6%
Social Sciences 3 3%
Agricultural and Biological Sciences 1 <1%
Other 5 5%
Unknown 21 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2022.
All research outputs
#5,266,509
of 21,829,456 outputs
Outputs from Journal of Big Data
#86
of 321 outputs
Outputs of similar age
#59,121
of 247,274 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 21,829,456 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 72% 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 247,274 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 75% of its contemporaries.
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