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Hand Resting Tremor Assessment of Healthy and Patients With Parkinson’s Disease: An Exploratory Machine Learning Study

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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6 X users
patent
1 patent

Citations

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19 Dimensions

Readers on

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41 Mendeley
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Title
Hand Resting Tremor Assessment of Healthy and Patients With Parkinson’s Disease: An Exploratory Machine Learning Study
Published in
Frontiers in Bioengineering and Biotechnology, July 2020
DOI 10.3389/fbioe.2020.00778
Pubmed ID
Authors

Ana Camila Alves de Araújo, Enzo Gabriel da Rocha Santos, Karina Santos Guedes de Sá, Viviane Kharine Teixeira Furtado, Felipe Augusto Santos, Ramon Costa de Lima, Lane Viana Krejcová, Bruno Lopes Santos-Lobato, Gustavo Henrique Lima Pinto, André dos Santos Cabral, Anderson Belgamo, Bianca Callegari, Ana Francisca Rozin Kleiner, Anselmo de Athayde Costa e Silva, Givago da Silva Souza

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Other 4 10%
Researcher 4 10%
Student > Master 3 7%
Student > Bachelor 2 5%
Other 7 17%
Unknown 12 29%
Readers by discipline Count As %
Engineering 11 27%
Computer Science 5 12%
Medicine and Dentistry 5 12%
Neuroscience 3 7%
Sports and Recreations 1 2%
Other 3 7%
Unknown 13 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 January 2023.
All research outputs
#6,136,740
of 24,413,320 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#880
of 7,833 outputs
Outputs of similar age
#125,104
of 401,072 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#83
of 481 outputs
Altmetric has tracked 24,413,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,833 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 88% of its peers.
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 401,072 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 481 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.