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Deep learning applications and challenges in big data analytics

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

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 267)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

twitter
74 tweeters
facebook
1 Facebook page
googleplus
3 Google+ users

Citations

dimensions_citation
867 Dimensions

Readers on

mendeley
1988 Mendeley
Title
Deep learning applications and challenges in big data analytics
Published in
Journal of Big Data, February 2015
DOI 10.1186/s40537-014-0007-7
Authors

Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic

Twitter Demographics

The data shown below were collected from the profiles of 74 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 1,988 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
South Africa 3 <1%
Mexico 3 <1%
Russia 2 <1%
Spain 2 <1%
Italy 2 <1%
Japan 2 <1%
Sweden 2 <1%
Colombia 2 <1%
Other 12 <1%
Unknown 1955 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 416 21%
Student > Ph. D. Student 412 21%
Student > Bachelor 217 11%
Researcher 158 8%
Student > Doctoral Student 109 5%
Other 306 15%
Unknown 370 19%
Readers by discipline Count As %
Computer Science 822 41%
Engineering 293 15%
Business, Management and Accounting 126 6%
Social Sciences 47 2%
Agricultural and Biological Sciences 38 2%
Other 214 11%
Unknown 448 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 08 February 2021.
All research outputs
#482,165
of 17,673,294 outputs
Outputs from Journal of Big Data
#7
of 267 outputs
Outputs of similar age
#7,740
of 223,387 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 17,673,294 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 267 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 97% 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 223,387 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% 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