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Distributed Computing for Emerging Smart Networks

Overview of attention for book
Distributed Computing for Emerging Smart Networks
Springer International Publishing
Attention for Chapter: Dairy Cow Rumination Detection: A Deep Learning Approach
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
38 Mendeley
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Chapter title
Dairy Cow Rumination Detection: A Deep Learning Approach
Book title
Distributed Computing for Emerging Smart Networks
Published in
arXiv, January 2021
DOI 10.1007/978-3-030-65810-6_7
Book ISBNs
978-3-03-065809-0, 978-3-03-065810-6
Authors

Safa Ayadi, Ahmed ben said, Rateb Jabbar, Chafik Aloulou, Achraf Chabbouh, Ahmed Ben Achballah, Ahmed Ben Said, Ayadi, Safa, Ben Said, Ahmed, Jabbar, Rateb, Aloulou, Chafik, Chabbouh, Achraf, Achballah, Ahmed Ben

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 11%
Researcher 3 8%
Other 2 5%
Professor > Associate Professor 2 5%
Student > Doctoral Student 1 3%
Other 5 13%
Unknown 21 55%
Readers by discipline Count As %
Computer Science 9 24%
Agricultural and Biological Sciences 2 5%
Veterinary Science and Veterinary Medicine 1 3%
Business, Management and Accounting 1 3%
Psychology 1 3%
Other 1 3%
Unknown 23 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 January 2021.
All research outputs
#15,270,609
of 26,126,599 outputs
Outputs from arXiv
#201,197
of 970,250 outputs
Outputs of similar age
#263,006
of 533,192 outputs
Outputs of similar age from arXiv
#5,297
of 24,561 outputs
Altmetric has tracked 26,126,599 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970,250 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 78% 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 533,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,561 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.