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Semantic indexing with deep learning: a case study

Overview of attention for article published in Big Data Analytics, August 2016
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Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Semantic indexing with deep learning: a case study
Published in
Big Data Analytics, August 2016
DOI 10.1186/s41044-016-0007-z
Authors

Yan Yan, Xu-Cheng Yin, Bo-Wen Zhang, Chun Yang, Hong-Wei Hao

X Demographics

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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Ph. D. Student 8 18%
Researcher 6 14%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 7 16%
Unknown 9 20%
Readers by discipline Count As %
Computer Science 26 59%
Engineering 4 9%
Biochemistry, Genetics and Molecular Biology 1 2%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 8 18%
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 06 September 2016.
All research outputs
#18,469,995
of 22,886,568 outputs
Outputs from Big Data Analytics
#20
of 32 outputs
Outputs of similar age
#257,862
of 336,871 outputs
Outputs of similar age from Big Data Analytics
#4
of 5 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 12 of them.
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 336,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.