Evidence map›Paper›PMID 37155346›Full record

ArticleJournal of chemical information and modeling2023

AI4Green: An Open-Source ELN for Green and Sustainable Chemistry.

Samuel Boobier, Joseph C Davies, Ivan N Derbenev, Christopher M Handley, Jonathan D Hirst

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Enhancing Monte Carlo Tree Search for Retrosynthesis.Journal of chemical information and modeling · 2025
    Article
  3. Article
  4. Article
  5. Interactive Knowledge-Based Kernel PCA for Solvent Selection.ACS sustainable chemistry & engineering · 2025
    Article
  6. Article
  7. Review
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

5 authors.

Samuel BoobierSchool of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.
Joseph C DaviesSchool of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.
Ivan N DerbenevDigital Research Service, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, United Kingdom.
Christopher M HandleyDigital Research Service, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, United Kingdom.
Jonathan D HirstSchool of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.ORCID 0000-0002-2726-0983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An Electronic Laboratory Notebook (ELN) combining features, including data archival, collaboration tools, and green and sustainability metrics for organic chemistry, is presented. AI4Green is a web-based application, available as open-source code and free to use. It offers the core functionality of an ELN, namely, the ability to store reactions securely and share them among different members of a research team. As users plan their reactions and record them in the ELN, green and sustainable chemistry is encouraged by automatically calculating green metrics and color-coding hazards, solvents, and reaction conditions. The interface links a database constructed from data extracted from PubChem, enabling the automatic collation of information for reactions. The application's design facilitates the development of auxiliary sustainability applications, such as our Solvent Guide. As more reaction data are captured, subsequent work will include providing "intelligent" sustainability suggestions to the user.

Indexed as

LaboratoriesSoftwareDatabases, FactualElectronics

Identifiers

PMID37155346
PMCPMC10207257

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.