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Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach

Overview of attention for article published in Frontiers in Nutrition, July 2022
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1 X user

Citations

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7 Dimensions

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66 Mendeley
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Title
Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach
Published in
Frontiers in Nutrition, July 2022
DOI 10.3389/fnut.2022.898031
Pubmed ID
Authors

Sofia Balula Dias, Yannis Oikonomidis, José Alves Diniz, Fátima Baptista, Filomena Carnide, Alex Bensenousi, José María Botana, Dorothea Tsatsou, Kiriakos Stefanidis, Lazaros Gymnopoulos, Kosmas Dimitropoulos, Petros Daras, Anagnostis Argiriou, Konstantinos Rouskas, Saskia Wilson-Barnes, Kathryn Hart, Neil Merry, Duncan Russell, Jelizaveta Konstantinova, Elena Lalama, Andreas Pfeiffer, Anna Kokkinopoulou, Maria Hassapidou, Ioannis Pagkalos, Elena Patra, Roselien Buys, Véronique Cornelissen, Ana Batista, Stefano Cobello, Elena Milli, Chiara Vagnozzi, Sheree Bryant, Simon Maas, Pedro Bacelar, Saverio Gravina, Jovana Vlaskalin, Boris Brkic, Gonçalo Telo, Eugenio Mantovani, Olga Gkotsopoulou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Leontios J. Hadjileontiadis

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 8%
Researcher 5 8%
Student > Master 4 6%
Student > Bachelor 4 6%
Professor 3 5%
Other 12 18%
Unknown 33 50%
Readers by discipline Count As %
Nursing and Health Professions 9 14%
Computer Science 4 6%
Medicine and Dentistry 4 6%
Business, Management and Accounting 3 5%
Psychology 3 5%
Other 10 15%
Unknown 33 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 July 2022.
All research outputs
#21,642,658
of 24,156,282 outputs
Outputs from Frontiers in Nutrition
#4,312
of 5,800 outputs
Outputs of similar age
#358,513
of 425,822 outputs
Outputs of similar age from Frontiers in Nutrition
#520
of 710 outputs
Altmetric has tracked 24,156,282 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,800 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 425,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 710 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.