Evidence map›Paper›PMID 37102812›Full record

ReviewBehavioral sciences (Basel, Switzerland)2023

A Bibliometric Analysis of Consumer Neuroscience towards Sustainable Consumption.

Yan Liu, Rui Zhao, Xin Xiong, Xinyun Ren

Open access · goldAbstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Cosmetics and Detergents with Recycled COBehavioral sciences (Basel, Switzerland) · 2023
    Article
  6. Article
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 1 institution in 1 country.

Yan LiuFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Rui ZhaoFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Xin XiongFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Xinyun RenFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Southwest Jiaotong University · CN

Funding

Fundamental Research Funds for the Central Universities 2682021ZTPY088National Key Plan for Research and Development of China 2019YFC1905600National Natural Science Foundation of China 41571520Sichuan Youth Science and Technology Innovation Team Funding 2022JDTD0005
6 · The paper itself

Abstract

Consumer neuroscience is a new paradigm for studying consumer behavior, focusing on neuroscientific tools to explore the underlying neural processes and behavioral implications of consumption. Based on the bibliometric analysis tools, this paper provides a review of progress in research on consumer neuroscience during 2000-2021. In this paper, we identify research hotspots and frontiers in the field through a statistical analysis of bibliometric indicators, including the number of publications, countries, institutions, and keywords. Aiming at facilitating carbon neutrality via sustainable consumption, this paper discusses the prospects of applying neuroscience to sustainable consumption. The results show 364 publications in the field during 2000-2021, showing a rapid upward trend, indicating that consumer neuroscience research is gaining ground. The majority of these consumer neuroscience studies chose to use electroencephalogram tools, accounting for 63.8% of the total publications; the cutting-edge research mainly involved event-related potential (ERP) studies of various marketing stimuli interventions, functional magnetic resonance imaging (fMRI)-based studies of consumer decision-making and emotion-specific brain regions, and machine-learning-based studies of consumer decision-making optimization models.

Indexed as

bibliometric analysisconsumer neuroscienceERPfMRImachine learningsustainable consumption

Identifiers

PMID37102812
PMCPMC10136158
OpenAlexW4362471090

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.