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Models and Processes to Extract Drug-like Molecules From Natural Language Text

Overview of attention for article published in Frontiers in Molecular Biosciences, August 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Models and Processes to Extract Drug-like Molecules From Natural Language Text
Published in
Frontiers in Molecular Biosciences, August 2021
DOI 10.3389/fmolb.2021.636077
Pubmed ID
Authors

Zhi Hong, J. Gregory Pauloski, Logan Ward, Kyle Chard, Ben Blaiszik, Ian Foster

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Librarian 1 9%
Researcher 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Computer Science 2 18%
Agricultural and Biological Sciences 2 18%
Chemistry 1 9%
Medicine and Dentistry 1 9%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 August 2022.
All research outputs
#16,087,456
of 25,890,819 outputs
Outputs from Frontiers in Molecular Biosciences
#1,324
of 4,771 outputs
Outputs of similar age
#224,211
of 437,373 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#74
of 292 outputs
Altmetric has tracked 25,890,819 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,771 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 437,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 292 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 71% of its contemporaries.