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Machine learning in computational NMR-aided structural elucidation

Overview of attention for article published in Frontiers in Natural Products, January 2023
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Mentioned by

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2 X users

Citations

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5 Dimensions

Readers on

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26 Mendeley
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Title
Machine learning in computational NMR-aided structural elucidation
Published in
Frontiers in Natural Products, January 2023
DOI 10.3389/fntpr.2023.1122426
Authors

Iván Cortés, Cristina Cuadrado, Antonio Hernández Daranas, Ariel M. Sarotti

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 15%
Other 3 12%
Unspecified 2 8%
Professor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 11 42%
Readers by discipline Count As %
Chemistry 8 31%
Unspecified 2 8%
Agricultural and Biological Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Psychology 1 4%
Other 1 4%
Unknown 12 46%
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 03 February 2023.
All research outputs
#17,157,370
of 25,992,468 outputs
Outputs from Frontiers in Natural Products
#1
of 1 outputs
Outputs of similar age
#258,707
of 480,321 outputs
Outputs of similar age from Frontiers in Natural Products
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 0 of them.
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 480,321 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them