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DFMD: Fast and Effective DelPhiForce Steered Molecular Dynamics Approach to Model Ligand Approach Toward a Receptor: Application to Spermine Synthase Enzyme

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2019
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Mentioned by

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1 X user

Readers on

mendeley
10 Mendeley
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Title
DFMD: Fast and Effective DelPhiForce Steered Molecular Dynamics Approach to Model Ligand Approach Toward a Receptor: Application to Spermine Synthase Enzyme
Published in
Frontiers in Molecular Biosciences, September 2019
DOI 10.3389/fmolb.2019.00074
Pubmed ID
Authors

Yunhui Peng, Ye Yang, Lin Li, Zhe Jia, Weiguo Cao, Emil Alexov

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Student > Doctoral Student 2 20%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Chemistry 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Chemical Engineering 1 10%
Unknown 4 40%
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 04 September 2019.
All research outputs
#18,689,206
of 23,155,957 outputs
Outputs from Frontiers in Molecular Biosciences
#2,016
of 3,946 outputs
Outputs of similar age
#253,948
of 340,590 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#35
of 51 outputs
Altmetric has tracked 23,155,957 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 3,946 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% 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 340,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 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.