Evidence map›Paper›PMID 37789142›Full record

ArticleCommunications chemistry2023

Accelerating the prediction of CO

Ibrahim B Orhan, Tu C Le, Ravichandar Babarao, Aaron W Thornton

Open access · goldAbstract read
In one paragraph

Article in Communications chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Machine Learning Descriptors for COMolecules (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Accelerated Discovery of Metal-Organic Frameworks for COIndustrial & engineering chemistry research · 2024
    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

4 authors at 2 institutions in 2 countries.

Ibrahim B OrhanSchool of Science, Centre for Advanced Materials and Industrial Chemistry (CAMIC), RMIT University, Melbourne, VIC, 3001, Australia.
Tu C LeSchool of Engineering, RMIT University, Melbourne, VIC, 3001, Australia. tu.le@rmit.edu.au.ORCID http://orcid.org/0000-0003-3552-8211
Ravichandar BabaraoSchool of Science, Centre for Advanced Materials and Industrial Chemistry (CAMIC), RMIT University, Melbourne, VIC, 3001, Australia. ravichandar.babarao@rmit.edu.au.ORCID http://orcid.org/0000-0003-3556-495X
Aaron W ThorntonCSIRO Future Industries-Manufacturing Business Unit, Clayton, VIC, 3169, Australia. aaron.thornton@csiro.au.ORCID http://orcid.org/0000-0002-7959-1397
CSIRO Manufacturing · AUMIT University · MK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-Organic frameworks (MOFs) have been considered for various gas storage and separation applications. Theoretically, there are an infinite number of MOFs that can be created; however, a finite amount of resources are available to evaluate each one. Computational methods can be adapted to expedite the process of evaluation. In the context of CO

Identifiers

PMID37789142
PMCPMC10547688
OpenAlexW4387299475

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.