↓ Skip to main content

Prediction of Protein Mutational Free Energy: Benchmark and Sampling Improvements Increase Classification Accuracy

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, October 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
76 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
Prediction of Protein Mutational Free Energy: Benchmark and Sampling Improvements Increase Classification Accuracy
Published in
Frontiers in Bioengineering and Biotechnology, October 2020
DOI 10.3389/fbioe.2020.558247
Pubmed ID
Authors

Brandon Frenz, Steven M. Lewis, Indigo King, Frank DiMaio, Hahnbeom Park, Yifan Song

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 30%
Researcher 14 18%
Student > Bachelor 9 12%
Student > Master 5 7%
Student > Doctoral Student 3 4%
Other 2 3%
Unknown 20 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 29%
Chemistry 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Agricultural and Biological Sciences 6 8%
Computer Science 4 5%
Other 7 9%
Unknown 23 30%
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 04 October 2023.
All research outputs
#8,633,591
of 25,621,213 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,574
of 8,631 outputs
Outputs of similar age
#180,033
of 436,869 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#107
of 319 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,631 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 436,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.