↓ Skip to main content

Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures

Overview of attention for article published in Frontiers in Aging Neuroscience, November 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
14 X users
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Classifying Parkinson’s Disease Patients With Syntactic and Socio-emotional Verbal Measures
Published in
Frontiers in Aging Neuroscience, November 2020
DOI 10.3389/fnagi.2020.586233
Pubmed ID
Authors

Sandra Baez, Eduar Herrera, Catalina Trujillo, Juan F. Cardona, Jesus A. Diazgranados, Mariana Pino, Hernando Santamaría-García, Agustín Ibáñez, Adolfo M. García

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Master 5 22%
Student > Bachelor 2 9%
Researcher 2 9%
Lecturer 1 4%
Other 0 0%
Unknown 8 35%
Readers by discipline Count As %
Neuroscience 5 22%
Psychology 5 22%
Medicine and Dentistry 2 9%
Business, Management and Accounting 1 4%
Environmental Science 1 4%
Other 2 9%
Unknown 7 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 05 October 2022.
All research outputs
#3,962,997
of 24,570,543 outputs
Outputs from Frontiers in Aging Neuroscience
#2,154
of 5,279 outputs
Outputs of similar age
#100,403
of 518,581 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#65
of 146 outputs
Altmetric has tracked 24,570,543 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 59% 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 518,581 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.