↓ Skip to main content

Computational Peptidology

Overview of attention for book
Attention for Chapter 12: A Use of Homology Modeling and Molecular Docking Methods: To Explore Binding Mechanisms of Nonylphenol and Bisphenol A with Antioxidant Enzymes
Altmetric Badge

Mentioned by

video
1 YouTube creator

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
25 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
A Use of Homology Modeling and Molecular Docking Methods: To Explore Binding Mechanisms of Nonylphenol and Bisphenol A with Antioxidant Enzymes
Chapter number 12
Book title
Computational Peptidology
Published in
Methods in molecular biology, December 2014
DOI 10.1007/978-1-4939-2285-7_12
Pubmed ID
Book ISBNs
978-1-4939-2284-0, 978-1-4939-2285-7
Authors

Mannu Jayakanthan, Rajamanickam Jubendradass, Shereen Cynthia D’Cruz, Premendu P. Mathur, Jayakanthan, Mannu, Jubendradass, Rajamanickam, D’Cruz, Shereen Cynthia, Mathur, Premendu P.

Editors

Peng Zhou, Jian Huang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Professor 3 12%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 7 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 20%
Biochemistry, Genetics and Molecular Biology 5 20%
Environmental Science 2 8%
Chemistry 2 8%
Computer Science 2 8%
Other 1 4%
Unknown 8 32%
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 15 April 2020.
All research outputs
#20,413,129
of 22,963,381 outputs
Outputs from Methods in molecular biology
#9,917
of 13,136 outputs
Outputs of similar age
#303,716
of 362,372 outputs
Outputs of similar age from Methods in molecular biology
#631
of 998 outputs
Altmetric has tracked 22,963,381 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 13,136 research outputs from this source. They receive a mean Attention Score of 3.4. 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 362,372 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 998 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.