Evidence map›Paper›PMID 29719711›Full record

ReviewChemical science2018

Predictive and mechanistic multivariate linear regression models for reaction development.

Celine B Santiago, Jing-Yao Guo, Matthew S Sigman

Abstract readReview
In one paragraph

Review in Chemical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Stereodivergent Construction ofJournal of the American Chemical Society · 2026
    Article
  8. Article
  9. Recent Advances in Mediator and Proton Relay Usage in Molecular Catalysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Elucidating Ligand-Dependent Selectivities in Pd-Catalyzed C-H Activations.Angewandte Chemie (International ed. in English) · 2025
    Article
  14. Article
  15. Article
  16. Direct Carboboration of Aryl Alkenes with Stable Organoborons Through Ziegler-Type Addition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  17. Considerations in Pursuing Reaction Scope Generality.Angewandte Chemie (International ed. in English) · 2025
    Review
  18. Article
  19. Article
  20. Article

63 more citing papers are in PubMed but not listed here.

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.

Celine B SantiagoDepartment of Chemistry , University of Utah , 315 South 1400 East , Salt Lake City , Utah 84112 , USA . Email: sigman@chem.utah.edu.
Jing-Yao GuoDepartment of Chemistry , University of Utah , 315 South 1400 East , Salt Lake City , Utah 84112 , USA . Email: sigman@chem.utah.edu.
Matthew S SigmanDepartment of Chemistry , University of Utah , 315 South 1400 East , Salt Lake City , Utah 84112 , USA . Email: sigman@chem.utah.edu.ORCID 0000-0002-5746-8830

Funding

Using Numerical Analysis Tools to Design and Study Chiral CatalystsR01GM121383 · NIGMS · UNIVERSITY OF UTAH · PI MILLER, SCOTT J, SIGMAN, MATTHEW S · 2017 to 2020
$1.9M
NIGMS NIH HHS R01 GM121383
6 · The paper itself

Abstract

Multivariate Linear Regression (MLR) models utilizing computationally-derived and empirically-derived physical organic molecular descriptors are described in this review. Several reports demonstrating the effectiveness of this methodological approach towards reaction optimization and mechanistic interrogation are discussed. A detailed protocol to access quantitative and predictive MLR models is provided as a guide for model development and parameter analysis.

Identifiers

PMID29719711
PMCPMC5903422

What OpenQuestion holds

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Registered trials

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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.