↓ Skip to main content

Age dependent electroencephalographic changes in attention-deficit/hyperactivity disorder (ADHD)

Overview of attention for article published in Clinical Neurophysiology, February 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
230 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
Age dependent electroencephalographic changes in attention-deficit/hyperactivity disorder (ADHD)
Published in
Clinical Neurophysiology, February 2014
DOI 10.1016/j.clinph.2013.12.118
Pubmed ID
Authors

S.-S. Poil, S. Bollmann, C. Ghisleni, R.L. O’Gorman, P. Klaver, J. Ball, D. Eich-Höchli, D. Brandeis, L. Michels

Abstract

Objective biomarkers for attention-deficit/hyperactivity disorder (ADHD) could improve diagnostics or treatment monitoring of this psychiatric disorder. The resting electroencephalogram (EEG) provides non-invasive spectral markers of brain function and development. Their accuracy as ADHD markers is increasingly questioned but may improve with pattern classification.

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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Switzerland 1 <1%
Malaysia 1 <1%
Sweden 1 <1%
United States 1 <1%
Serbia 1 <1%
Unknown 224 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 18%
Student > Master 35 15%
Researcher 31 13%
Student > Doctoral Student 19 8%
Student > Bachelor 19 8%
Other 33 14%
Unknown 51 22%
Readers by discipline Count As %
Psychology 65 28%
Neuroscience 28 12%
Medicine and Dentistry 28 12%
Engineering 14 6%
Computer Science 11 5%
Other 22 10%
Unknown 62 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 December 2020.
All research outputs
#7,960,512
of 25,374,647 outputs
Outputs from Clinical Neurophysiology
#1,220
of 5,357 outputs
Outputs of similar age
#88,671
of 322,759 outputs
Outputs of similar age from Clinical Neurophysiology
#8
of 38 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 5,357 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 76% 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 322,759 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 71% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.