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Novel semantic tagging detection algorithms based non-negative matrix factorization

Overview of attention for article published in SN Applied Sciences, December 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
6 Mendeley
Title
Novel semantic tagging detection algorithms based non-negative matrix factorization
Published in
SN Applied Sciences, December 2019
DOI 10.1007/s42452-019-1836-y
Authors

Fatma S. Gadelrab, Mohamed H. Haggag, Rowayda A. Sadek

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 17%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Professor > Associate Professor 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Mathematics 1 17%
Engineering 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 February 2022.
All research outputs
#6,493,633
of 23,025,074 outputs
Outputs from SN Applied Sciences
#118
of 1,366 outputs
Outputs of similar age
#141,808
of 458,100 outputs
Outputs of similar age from SN Applied Sciences
#16
of 118 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,366 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 458,100 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.