scholarly journals Application of Eye Tracking Technology in Medicine: A Bibliometric Analysis

Vision ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 56
Author(s):  
Gianpaolo Zammarchi ◽  
Claudio Conversano
Keyword(s):  
Eye Tracking ◽  
Bibliometric Analysis ◽  
Quantitative Measure ◽  
R Package ◽  
Autism Spectrum ◽  
Scientific Production ◽  
Annual Scientific ◽  
Gaze Patterns ◽  
Production Growth ◽  
The Usa

Eye tracking provides a quantitative measure of eye movements during different activities. We report the results from a bibliometric analysis to investigate trends in eye tracking research applied to the study of different medical conditions. We conducted a search on the Web of Science Core Collection (WoS) database and analyzed the dataset of 2456 retrieved articles using VOSviewer and the Bibliometrix R package. The most represented area was psychiatry (503, 20.5%) followed by neuroscience (465, 18.9%) and psychology developmental (337, 13.7%). The annual scientific production growth was 11.14% and showed exponential growth with three main peaks in 2011, 2015 and 2017. Extensive collaboration networks were identified between the three countries with the highest scientific production, the USA (35.3%), the UK (9.5%) and Germany (7.3%). Based on term co-occurrence maps and analyses of sources of articles, we identified autism spectrum disorders as the most investigated condition and conducted specific analyses on 638 articles related to this topic which showed an annual scientific production growth of 16.52%. The majority of studies focused on autism used eye tracking to investigate gaze patterns with regards to stimuli related to social interaction. Our analysis highlights the widespread and increasing use of eye tracking in the study of different neurological and psychiatric conditions.

scholarly journals Application of Artificial Intelligence in COVID-19 Pandemic: Bibliometric Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 441
Author(s):  
Md. Mohaimenul Islam ◽  
Tahmina Nasrin Poly ◽  
Belal Alsinglawi ◽  
Li-Fong Lin ◽  
Shuo-Chen Chien ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Bibliometric Analysis ◽  
English Language ◽  
R Package ◽  
Research Area ◽  
Republic Of China ◽  
Comprehensive Picture ◽  
The Usa ◽  
The Republic ◽  
Academy Of Sciences

The application of artificial intelligence (AI) to health has increased, including to COVID-19. This study aimed to provide a clear overview of COVID-19-related AI publication trends using longitudinal bibliometric analysis. A systematic literature search was conducted on the Web of Science for English language peer-reviewed articles related to AI application to COVID-19. A search strategy was developed to collect relevant articles and extracted bibliographic information (e.g., country, research area, sources, and author). VOSviewer (Leiden University) and Bibliometrix (R package) were used to visualize the co-occurrence networks of authors, sources, countries, institutions, global collaborations, citations, co-citations, and keywords. We included 729 research articles on the application of AI to COVID-19 published between 2020 and 2021. PLOS One (33/729, 4.52%), Chaos Solution Fractals (29/729, 3.97%), and Journal of Medical Internet Research (29/729, 3.97%) were the most common journals publishing these articles. The Republic of China (190/729, 26.06%), the USA (173/729, 23.73%), and India (92/729, 12.62%) were the most prolific countries of origin. The Huazhong University of Science and Technology, Wuhan University, and the Chinese Academy of Sciences were the most productive institutions. This is the first study to show a comprehensive picture of the global efforts to address COVID-19 using AI. The findings of this study also provide insights and research directions for academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these domains in the future.

scholarly journals Evaluation of an eye tracking setup for studying visual attention in face-to-face conversations

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Antonia Vehlen ◽  
Ines Spenthof ◽  
Daniel Tönsing ◽  
Markus Heinrichs ◽  
Gregor Domes
Keyword(s):  
Eye Tracking ◽  
Data Quality ◽  
Autism Spectrum ◽  
Independent Study ◽  
Facial Features ◽  
Gaze Behavior ◽  
Tracking Accuracy ◽  
Attentional Processing ◽  
Face To Face ◽  
Gaze Patterns

AbstractMany eye tracking studies use facial stimuli presented on a display to investigate attentional processing of social stimuli. To introduce a more realistic approach that allows interaction between two real people, we evaluated a new eye tracking setup in three independent studies in terms of data quality, short-term reliability and feasibility. Study 1 measured the robustness, precision and accuracy for calibration stimuli compared to a classical display-based setup. Study 2 used the identical measures with an independent study sample to compare the data quality for a photograph of a face (2D) and the face of the real person (3D). Study 3 evaluated data quality over the course of a real face-to-face conversation and examined the gaze behavior on the facial features of the conversation partner. Study 1 provides evidence that quality indices for the scene-based setup were comparable to those of a classical display-based setup. Average accuracy was better than 0.4° visual angle. Study 2 demonstrates that eye tracking quality is sufficient for 3D stimuli and robust against short interruptions without re-calibration. Study 3 confirms the long-term stability of tracking accuracy during a face-to-face interaction and demonstrates typical gaze patterns for facial features. Thus, the eye tracking setup presented here seems feasible for studying gaze behavior in dyadic face-to-face interactions. Eye tracking data obtained with this setup achieves an accuracy that is sufficient for investigating behavior such as eye contact in social interactions in a range of populations including clinical conditions, such as autism spectrum and social phobia.

scholarly journals Gut Health in Veterinary Medicine: A Bibliometric Analysis of the Literature

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1997
Author(s):  
Elena Colombino ◽  
Daniel Prieto-Botella ◽  
Maria Teresa Capucchio
Keyword(s):  
Veterinary Medicine ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Inflammatory Diseases ◽  
R Package ◽  
Gut Health ◽  
Relevant Research ◽  
Main Research ◽  
The Usa ◽  
Number Of Publications

Gut health is a recent relevant research topic in veterinary medicine and it has been shown to be associated with better zootechnical performances and animal welfare. A bibliometric analysis was performed to explore publication trends, dynamics and possible knowledge gaps in this field in the last twenty years (2000–2020). The database Web of Science was searched and the results were analyzed by the R package Bibliometrix. A total of 1696 documents were retrieved in the evaluated period, showing a constant annual growth in the number of publications of 22.4%. These articles focused mainly on pigs (34.8%), poultry (chicken, duck, turkey and quail—33.9%) and aquaculture (fishes, crustaceans and frog—15.0%) while a scarce number was found on felines, cows, horses, rodents, goats and sheep. China was the most productive country (24.7%) followed by the USA (17.2%) and Canada (5.7%). Keyword’s analysis showed that the main research lines aimed to explore animal nutrition, prevention of inflammatory diseases and microbiota composition. This study shows a comprehensive bibliometric analysis of the evolution of veterinary gut health research that will help to drive future investigations on this topic.

scholarly journals Atypical gaze patterns in autism are heterogeneous across subjects but reliable within individuals

2021 ◽  
Author(s):  
Umit Keles ◽  
Dorit Kliemann ◽  
Lisa Byrge ◽  
Heini Saarimaki ◽  
Lynn K. Paul ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Autism Spectrum ◽  
Visual Images ◽  
Visual Features ◽  
Genetic Studies ◽  
Complex Disorder ◽  
Gaze Patterns ◽  
Within Subjects ◽  
Competing Hypotheses ◽  
Over Time

People with autism spectrum disorder (ASD) have atypical gaze onto both static visual images and dynamic videos that could be leveraged for diagnostic purposes. Eye tracking is important for characterizing ASD across the lifespan and nowadays feasible at home (e.g., from smartphones). Yet gaze-based classification has been difficult to achieve, due to sources of variance both across and within subjects. Here we test three competing hypotheses: (a) that ASD could be successfully classified from the fact that gaze patterns are less reliable or noisier than in controls, (b) that gaze patterns are atypical and heterogeneous across ASD subjects but reliable over time within a subject, or (c) that gaze patterns are individually reliable and also homogenous among individuals with ASD. Leveraging dense eye tracking data from two different full-length television sitcom episodes in a total of over 150 subjects (N = 53 ASD, 107 controls) collected at two different sites, we demonstrate support for the second of these hypotheses. The findings pave the way for the investigation of autism subtypes, and for elucidating the specific visual features that best discriminate gaze patterns - directions that will also inform neuroimaging and genetic studies of this complex disorder.

scholarly journals Combined frequency-tagging EEG and eye-tracking measures provide no support for the “excess mouth/diminished eye attention” hypothesis in autism

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Sofie Vettori ◽  
Stephanie Van der Donck ◽  
Jannes Nys ◽  
Pieter Moors ◽  
Tim Van Wesemael ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Clinical Symptoms ◽  
Eye Gaze ◽  
Autism Spectrum ◽  
Covert Attention ◽  
Neural Responses ◽  
Lower Face ◽  
Facial Region ◽  
Gaze Patterns ◽  
The Face

Abstract Background Scanning faces is important for social interactions. Difficulty with the social use of eye contact constitutes one of the clinical symptoms of autism spectrum disorder (ASD). It has been suggested that individuals with ASD look less at the eyes and more at the mouth than typically developing (TD) individuals, possibly due to gaze aversion or gaze indifference. However, eye-tracking evidence for this hypothesis is mixed. While gaze patterns convey information about overt orienting processes, it is unclear how this is manifested at the neural level and how relative covert attention to the eyes and mouth of faces might be affected in ASD. Methods We used frequency-tagging EEG in combination with eye tracking, while participants watched fast flickering faces for 1-min stimulation sequences. The upper and lower halves of the faces were presented at 6 Hz and 7.5 Hz or vice versa in different stimulation sequences, allowing to objectively disentangle the neural saliency of the eyes versus mouth region of a perceived face. We tested 21 boys with ASD (8–12 years old) and 21 TD control boys, matched for age and IQ. Results Both groups looked longer at the eyes than the mouth, without any group difference in relative fixation duration to these features. TD boys looked significantly more to the nose, while the ASD boys looked more outside the face. EEG neural saliency data partly followed this pattern: neural responses to the upper or lower face half were not different between groups, but in the TD group, neural responses to the lower face halves were larger than responses to the upper part. Face exploration dynamics showed that TD individuals mostly maintained fixations within the same facial region, whereas individuals with ASD switched more often between the face parts. Limitations Replication in large and independent samples may be needed to validate exploratory results. Conclusions Combined eye-tracking and frequency-tagged neural responses show no support for the excess mouth/diminished eye gaze hypothesis in ASD. The more exploratory face scanning style observed in ASD might be related to their increased feature-based face processing style.

Prosumption: bibliometric analysis using HistCite and VOSviewer

Kybernetes ◽  
2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Hamad Hassan Shah ◽  
Shen Lei ◽  
Muhammad Ali ◽  
Dmitrii Doronin ◽  
Syed Talib Hussain
Keyword(s):  
Bibliometric Analysis ◽  
Quantitative Measure ◽  
Bibliographic Coupling ◽  
Content Type ◽  
Business Studies ◽  
Frequency Of Use ◽  
The Usa ◽  
State Of Research ◽  
The Uk ◽  
Ranking Journal

Purpose Over the past decade, the term prosumption (denoting simultaneous consumption and production) has exhibited a dramatic increase in frequency of use in publications in the social sciences and business studies. This paper aims to explore the current state of research into prosumption, particularly related to marketing. Design/methodology/approach This study systematically reviews papers on prosumption extracted from the Web of Science, using two bibliometric analyses on 20 years of data: citation counts from HistCite and bibliographic coupling and cartography analysis from the visualization of similarities software VOSviewer. A total of 75 papers on prosumption were found from the period 1997-2017, and the most influential authors, articles, journals, institutions and countries among these were determined. Furthermore, bibliographic coupling and most co-occurrent keywords in the title, keywords and abstracts were found. Findings This study found that the USA and the UK were the most influential among prosumption publications. Ritzer was the most prominent author and Journal of Consumer Culture was the top-ranking journal. Three clusters were found using bibliographic coupling and cartography analysis: prosumer and co-creation, prosumer and user-generated content and prosumer and informational capital. Research limitations/implications This analysis provided a basis for conceptualizing publications on prosumption related to business and sociology in the discipline of marketing. Content analysis found that prosumption research in marketing is in early stages: little quantitative study has been conducted yet. Researchers have not yet constructed a quantitative measure for prosumption. Practical implications Business firms can engage prosumers to gain market share and competitive advantage, especially relative to value co-creation, with near-zero marginal cost. Originality/value This may be the first bibliometric analysis and systematic review of prosumption research in marketing studies. The achievements of this paper open new avenues for other prosumption researchers.

Social Cognition in Children Autism Spectrum Disorders: An Eye Tracking Study

2019 ◽  
Author(s):  
J. Galli ◽  
F. Gitti ◽  
M. Lanaro ◽  
A. Rizzi ◽  
M.A. Pavlova ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Social Cognition ◽  
Eye Tracking ◽  
Autism Spectrum ◽  
Spectrum Disorders

Bibliometric Analysis of Current Drug Metabolism: The Twentieth Anniversary from 2000-2019

2020 ◽  
Vol 21 (9) ◽  
pp. 685-703
Author(s):  
Waseem Hassan ◽  
Jean Paul Kamdem ◽  
Mohammad Amjad Kamal ◽  
Joao Batista Teixeira da Rocha
Keyword(s):  
United States ◽  
Drug Metabolism ◽  
Bibliometric Analysis ◽  
Continuous Growth ◽  
H Index ◽  
Current Drug ◽  
The Usa ◽  
Twentieth Anniversary ◽  
Number Of Publications ◽  
Number Of Citations

Background: Scopus is regularly covering Current Drug Metabolism from 2000 onwards. Objective: The major objective is to perform the 1st bibliometric analysis of Current Drug Metabolism (CDM). Methods: The data was retrieved from Scopus in April-May 2020 for detail analysis. Results: The total number of publications was found to be 1551, with 955 reviews (61.57%) and 466 articles (30.05%). From 2000 onwards, we calculated the relative growth rate and doubling time. Based on the number of publications, total 4418 authors, 3235 institutions and 83 countries were directly involved in all publications. M.A. Kamal is the highly productive scientist with fifty-three (53 or 3.73%) publications, King Abdulaziz University is the top university with the highest number of publications (58 or 4.13%) and the USA is the top-ranked country with 365 publications (25.96%). We also provided the h-index, total citations (TC), h-index without self-citations (WSC) and total WSC of the top ten authors, universities and countries. In citations analysis, Prof. Zhou S.F. was the top scientist with the highest (1594) number of citations. In institutional category Department of Drug Metabolism, Merck Research Laboratories, Rahway, United States, is the top ranked institutes with 654 total citations. While, United States is the top-ranked country with 18409 total citations. In co-words analysis, 3387, 30564 and 17333 terms in titles of the manuscripts, abstracts and keywords were recorded, respectively. This indicated that CDM principally focused on understanding drug development ranging from its efficacy to delivery, metabolism, distribution, safety and mechanism of actions. Similarly, various specific drugs were thoroughly discussed in publications. Various enzymatic, genetics, proteins and cancer-related aspects were also described. For data presentations, we used VOSviewer graphical maps. Conclusion: The data confirm that CDM showed continuous growth in the number of publications and citations. However significant measures are needed to make overall progress and improve the rankings in relevant categories.

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