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Inventa: A computational tool to discover structural novelty in natural extracts libraries

Overview of attention for article published in Frontiers in Molecular Biosciences, November 2022
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
31 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Inventa: A computational tool to discover structural novelty in natural extracts libraries
Published in
Frontiers in Molecular Biosciences, November 2022
DOI 10.3389/fmolb.2022.1028334
Pubmed ID
Authors

Luis-Manuel Quiros-Guerrero, Louis-Félix Nothias, Arnaud Gaudry, Laurence Marcourt, Pierre-Marie Allard, Adriano Rutz, Bruno David, Emerson Ferreira Queiroz, Jean-Luc Wolfender

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 21%
Student > Ph. D. Student 4 17%
Student > Bachelor 2 8%
Researcher 2 8%
Other 1 4%
Other 2 8%
Unknown 8 33%
Readers by discipline Count As %
Chemistry 4 17%
Earth and Planetary Sciences 2 8%
Agricultural and Biological Sciences 2 8%
Unspecified 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 8%
Unknown 12 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 05 May 2024.
All research outputs
#2,183,455
of 26,200,644 outputs
Outputs from Frontiers in Molecular Biosciences
#124
of 4,793 outputs
Outputs of similar age
#44,316
of 442,525 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#5
of 328 outputs
Altmetric has tracked 26,200,644 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,793 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 442,525 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 328 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.