Evidence map›Paper›PMID 33534569›Full record

ArticleThe Journal of organic chemistry2021

Nucleophilicity Prediction

Manuel Orlandi, Margarita Escudero-Casao, Giulia Licini

Abstract read
In one paragraph

Article in The Journal of organic chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Data-Derived Conceptual DFT Nucleophilicity Index.The journal of physical chemistry. A · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Exceptional reactivity of the bridgehead amine on bicyclo[1.1.1]pentane.ARKIVOC : free online journal of organic chemistry · 2023
    Article
  11. Machine-Learning-Guided Discovery of Electrochemical Reactions.Journal of the American Chemical Society · 2022
    Article
  12. Article
  13. Uncertainty Quantification of Reactivity Scales.Chemphyschem : a European journal of chemical physics and physical chemistry · 2022
    Article
  14. Predicting relative efficiency of amide bond formation using multivariate linear regression.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Manuel OrlandiDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.ORCID 0000-0002-0569-6719
Margarita Escudero-CasaoDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.
Giulia LiciniDepartment of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.ORCID 0000-0001-8304-0443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of nucleophilicity is at the basis of most transformations in chemistry. Understanding and predicting the relative reactivity of different nucleophiles is therefore of paramount importance. Mayr's nucleophilicity scale likely represents the most complete collection of reactivity data, which currently includes over 1200 nucleophiles. Several attempts have been made to theoretically predict Mayr's nucleophilicity parameters

Indexed as

SolventsRegression AnalysisSolvents

Identifiers

PMID33534569
PMCPMC7901016

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.