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Self-organizing mapping based swarm intelligence for secondary and tertiary proteins classification

Overview of attention for article published in International Journal of Machine Learning and Cybernetics, August 2017
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1 X user

Citations

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21 Dimensions

Readers on

mendeley
14 Mendeley
Title
Self-organizing mapping based swarm intelligence for secondary and tertiary proteins classification
Published in
International Journal of Machine Learning and Cybernetics, August 2017
DOI 10.1007/s13042-017-0710-8
Authors

Md. Sarwar Kamal, Md. Golam Sarowar, Nilanjan Dey, Amira S. Ashour, Shamim H. Ripon, B. K. Panigrahi, João Manuel R. S. Tavares

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 5 36%
Lecturer > Senior Lecturer 1 7%
Professor 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Computer Science 5 36%
Engineering 2 14%
Mathematics 1 7%
Unknown 6 43%
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 01 December 2019.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from International Journal of Machine Learning and Cybernetics
#216
of 463 outputs
Outputs of similar age
#242,040
of 315,743 outputs
Outputs of similar age from International Journal of Machine Learning and Cybernetics
#4
of 4 outputs
Altmetric has tracked 22,999,744 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 463 research outputs from this source. They receive a mean Attention Score of 1.4. This one is in the 47th percentile – i.e., 47% 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 315,743 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 4 others from the same source and published within six weeks on either side of this one.