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Attention Score in Context
Title |
Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm
|
---|---|
Published in |
Frontiers in Computer Science, July 2020
|
DOI | 10.3389/fcomp.2020.00020 |
Authors |
Sofia Balula Dias, Athina Grammatikopoulou, José Alves Diniz, Kosmas Dimitropoulos, Nikos Grammalidis, Vicky Zilidou, Theodore Savvidis, Evdokimos Konstantinidis, Panagiotis D. Bamidis, Hagen Jaeger, Michael Stadtschnitzer, Hugo Silva, Gonçalo Telo, Ioannis Ioakeimidis, George Ntakakis, Fotis Karayiannis, Estelle Huchet, Vera Hoermann, Konstantinos Filis, Elina Theodoropoulou, George Lyberopoulos, Konstantinos Kyritsis, Alexandros Papadopoulos, Anastasios Delopoulos, Dhaval Trivedi, K. Ray Chaudhuri, Lisa Klingelhoefer, Heinz Reichmann, Sevasti Bostantzopoulou, Zoe Katsarou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, George Apostolidis, Leontios J. Hadjileontiadis |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 11% |
Student > Ph. D. Student | 4 | 11% |
Student > Bachelor | 3 | 8% |
Researcher | 3 | 8% |
Student > Doctoral Student | 2 | 5% |
Other | 4 | 11% |
Unknown | 17 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 16% |
Nursing and Health Professions | 5 | 14% |
Computer Science | 4 | 11% |
Medicine and Dentistry | 2 | 5% |
Psychology | 1 | 3% |
Other | 2 | 5% |
Unknown | 17 | 46% |
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 21 July 2020.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Frontiers in Computer Science
#1
of 1 outputs
Outputs of similar age
#332,150
of 431,962 outputs
Outputs of similar age from Frontiers in Computer Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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 431,962 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them