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Unsupervised feature learning-based encoder and adversarial networks

Overview of attention for article published in Journal of Big Data, September 2021
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

mendeley
35 Mendeley
Title
Unsupervised feature learning-based encoder and adversarial networks
Published in
Journal of Big Data, September 2021
DOI 10.1186/s40537-021-00508-9
Authors

Endang Suryawati, Hilman F. Pardede, Vicky Zilvan, Ade Ramdan, Dikdik Krisnandi, Ana Heryana, R. Sandra Yuwana, R. Budiarianto Suryo Kusumo, Andria Arisal, Ahmad Afif Supianto

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X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 9%
Student > Ph. D. Student 3 9%
Researcher 3 9%
Student > Master 3 9%
Other 1 3%
Other 4 11%
Unknown 18 51%
Readers by discipline Count As %
Engineering 5 14%
Computer Science 5 14%
Unspecified 3 9%
Agricultural and Biological Sciences 1 3%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 16 46%
Attention Score in Context

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 08 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Journal of Big Data
#335
of 351 outputs
Outputs of similar age
#356,148
of 429,694 outputs
Outputs of similar age from Journal of Big Data
#6
of 6 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 1st percentile – i.e., 1% 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 429,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.