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Biometric handwriting analysis to support Parkinson’s Disease assessment and grading

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2019
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Biometric handwriting analysis to support Parkinson’s Disease assessment and grading
Published in
BMC Medical Informatics and Decision Making, December 2019
DOI 10.1186/s12911-019-0989-3
Pubmed ID
Authors

Giacomo Donato Cascarano, Claudio Loconsole, Antonio Brunetti, Antonio Lattarulo, Domenico Buongiorno, Giacomo Losavio, Eugenio Di Sciascio, Vitoantonio Bevilacqua

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Bachelor 5 10%
Researcher 3 6%
Professor > Associate Professor 3 6%
Student > Ph. D. Student 3 6%
Other 4 8%
Unknown 24 49%
Readers by discipline Count As %
Engineering 8 16%
Computer Science 7 14%
Neuroscience 3 6%
Sports and Recreations 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 4 8%
Unknown 23 47%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 March 2020.
All research outputs
#10,839,563
of 17,377,895 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,027
of 1,576 outputs
Outputs of similar age
#222,698
of 398,678 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#105
of 169 outputs
Altmetric has tracked 17,377,895 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,576 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 31st percentile – i.e., 31% 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 398,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.