Evidence map›Paper›PMID 36285213›Full record

ArticleNanoscale advances2022

Synthesis and properties of multi-functionalized graphene quantum dots with tunable photoluminescence and hydrophobicity from asphaltene and its oxidized and reduced derivatives.

Maryam Aghajamali, Mariana Arpini Vieira, Razieh Firouzi-Haji, Kai Cui, Jae-Young Cho, Adam Johan Bergren, Hassan Hassanzadeh, Alkiviathes Meldrum

Open access · goldAbstract read
In one paragraph

Article in Nanoscale advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 30 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Maryam AghajamaliDepartment of Chemical & Petroleum Engineering, Schulich School of Engineering, University of Calgary Calgary AB T2N 1N4 Canada maryam.aghajamali@ucalgary.ca hhassanz@ucalgary.ca.ORCID https://orcid.org/0000-0003-2802-9721
Mariana Arpini VieiraDepartment of Physics, University of Alberta Edmonton AB T6G 2E1 Canada ameldrum@ualberta.ca.ORCID https://orcid.org/0000-0002-3550-3201
Razieh Firouzi-HajiDepartment of Physics, University of Alberta Edmonton AB T6G 2E1 Canada ameldrum@ualberta.ca.
Kai CuiNanotechnology Research Centre, National Research Council of Canada Edmonton AB T6G 2M9 Canada adam.bergren@nrc.ca.
Jae-Young ChoNanotechnology Research Centre, National Research Council of Canada Edmonton AB T6G 2M9 Canada adam.bergren@nrc.ca.
Adam Johan BergrenNanotechnology Research Centre, National Research Council of Canada Edmonton AB T6G 2M9 Canada adam.bergren@nrc.ca.
Hassan HassanzadehDepartment of Chemical & Petroleum Engineering, Schulich School of Engineering, University of Calgary Calgary AB T2N 1N4 Canada maryam.aghajamali@ucalgary.ca hhassanz@ucalgary.ca.ORCID https://orcid.org/0000-0002-3029-6530
Alkiviathes MeldrumDepartment of Physics, University of Alberta Edmonton AB T6G 2E1 Canada ameldrum@ualberta.ca.ORCID https://orcid.org/0000-0001-7215-4023
University of Alberta · CANational Institute for Nanotechnology · CAUniversity of Calgary · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene quantum dots (GQDs) with tunable photoluminescence (PL) and hydrophobicity were synthesized from an abundant natural carbon source containing nitrogen, sulfur, and oxygen heteroatoms. Asphaltene and its oxidized and reduced derivatives were used as precursors to produce GQDs in organic solvents (

Identifiers

PMID36285213
PMCPMC9514569
OpenAlexW4292615497

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.