↓ Skip to main content

Application of Machine Learning for Drug–Target Interaction Prediction

Overview of attention for article published in Frontiers in Genetics, June 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
72 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
Application of Machine Learning for Drug–Target Interaction Prediction
Published in
Frontiers in Genetics, June 2021
DOI 10.3389/fgene.2021.680117
Pubmed ID
Authors

Lei Xu, Xiaoqing Ru, Rong Song

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

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 11%
Student > Bachelor 6 8%
Student > Ph. D. Student 5 7%
Student > Master 4 6%
Professor > Associate Professor 3 4%
Other 11 15%
Unknown 35 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 8%
Computer Science 6 8%
Chemistry 4 6%
Engineering 4 6%
Agricultural and Biological Sciences 4 6%
Other 10 14%
Unknown 38 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 10 February 2023.
All research outputs
#1,500,979
of 23,344,526 outputs
Outputs from Frontiers in Genetics
#306
of 12,363 outputs
Outputs of similar age
#38,721
of 444,986 outputs
Outputs of similar age from Frontiers in Genetics
#13
of 717 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,363 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 444,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 717 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.