↓ Skip to main content

An Analysis of Proteochemometric and Conformal Prediction Machine Learning Protein-Ligand Binding Affinity Models

Overview of attention for article published in Frontiers in Molecular Biosciences, June 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
36 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.
Title
An Analysis of Proteochemometric and Conformal Prediction Machine Learning Protein-Ligand Binding Affinity Models
Published in
Frontiers in Molecular Biosciences, June 2020
DOI 10.3389/fmolb.2020.00093
Pubmed ID
Authors

Conor Parks, Zied Gaieb, Rommie E. Amaro

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 6 17%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 12 33%
Readers by discipline Count As %
Chemistry 6 17%
Computer Science 6 17%
Biochemistry, Genetics and Molecular Biology 2 6%
Physics and Astronomy 2 6%
Neuroscience 2 6%
Other 5 14%
Unknown 13 36%
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 24 June 2020.
All research outputs
#18,730,833
of 23,217,343 outputs
Outputs from Frontiers in Molecular Biosciences
#2,030
of 3,968 outputs
Outputs of similar age
#301,515
of 400,204 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#61
of 104 outputs
Altmetric has tracked 23,217,343 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 3,968 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 400,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.