Evidence map›Paper›PMID 36770184›Full record

ArticleMaterials (Basel, Switzerland)2023

Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities.

Fernando Gomes Souza, Kaushik Pal, Jeffrey Dankwa Ampah, Maria Clara Dantas, Aruzza Araújo, Fabíola Maranhão, Priscila Domingues

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 4 institutions in 3 countries.

Fernando Gomes SouzaBiopolymers & Sensors Lab, Instituto de Macromoléculas Professora Eloisa Mano, Centro de Tecnologia-Cidade Universitária, Universidade Federal de Rio de Janeiro, Rio de Janeiro 21941-914, RJ, Brazil.ORCID 0000-0002-8332-4953
Kaushik PalUniversity Center for Research and Development (UCRD), Department of Physics, Chandigarh University, Ludhiana-Chandigarh State Hwy, Mohali 140413, Punjab, India.ORCID 0000-0002-9313-6497
Jeffrey Dankwa AmpahSchool of Mechanical Engineering, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-0985-151X
Maria Clara DantasBiopolymers & Sensors Lab, Programa de Engenharia da Nanotecnologia, COPPE, Centro de Tecnologia-Cidade Universitária, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-914, RJ, Brazil.
Aruzza AraújoLABPROBIO, Institute of Chemistry, Universidade Federal do Rio Grande do Norte, Natal 59078-970, RN, Brazil.
Fabíola MaranhãoBiopolymers & Sensors Lab, Instituto de Macromoléculas Professora Eloisa Mano, Centro de Tecnologia-Cidade Universitária, Universidade Federal de Rio de Janeiro, Rio de Janeiro 21941-914, RJ, Brazil.
Priscila DominguesBiopolymers & Sensors Lab, Programa de Engenharia da Nanotecnologia, COPPE, Centro de Tecnologia-Cidade Universitária, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-914, RJ, Brazil.ORCID 0000-0001-8923-6834
Universidade Federal do Rio de Janeiro · BRChandigarh University · INTianjin University · CNUniversidade Federal do Rio Grande do Norte · BR

Funding

Agência Nacional de Petróleo PRH 16.1 & 37.1Coordenação de Aperfeicoamento de Pessoal de Nível Superior CAPES - Finance Code 001Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro FAPERJ E-26/210.800/2021 (Energy), E-26/211.122/2021 (COVID), E-26/210.511/2021 (ConBraPA2022), and E-26/201.154/2021 (CNE)National Council for Scientific and Technological Development CNPq 304500/2019-4
6 · The paper itself

Abstract

Among the most relevant themes of modernity, using renewable resources to produce biofuels attracts several countries' attention, constituting a vital part of the global geopolitical chessboard since humanity's energy needs will grow faster and faster. Fortunately, advances in personal computing associated with free and open-source software production facilitate this work of prospecting and understanding complex scenarios. Thus, for the development of this work, the keywords "biofuel" and "nanocatalyst" were delivered to the Scopus database, which returned 1071 scientific articles. The titles and abstracts of these papers were saved in Research Information Systems (RIS) format and submitted to automatic analysis via the Visualization of Similarities Method implemented in VOSviewer 1.6.18 software. Then, the data extracted from the VOSviewer were processed by software written in Python, which allowed the use of the network data generated by the Visualization of Similarities Method. Thus, it was possible to establish the relationships for the pair between the nodes of all clusters classified by Link Strength Between Items or Terms (LSBI) or by year. Indeed, other associations should arouse particular interest in the readers. However, here, the option was for a numerical criterion. However, all data are freely available, and stakeholders can infer other specific connections directly. Therefore, this innovative approach allowed inferring that the most recent pairs of terms associate the need to produce biofuels from microorganisms' oils besides cerium oxide nanoparticles to improve the performance of fuel mixtures by reducing the emission of hydrocarbons (HC) and oxides of nitrogen (NOx).

Indexed as

biodieseldata miningnanocatalystoilpandasproductionpythonreactionvisualization of similarities method

Identifiers

PMID36770184
PMCPMC9921263
OpenAlexW4318474122

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.