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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-Dimensional Dynamics of Human Electromagnetic Brain Activity
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, January 2016
|
| DOI | 10.3389/fnhum.2015.00713 |
| Pubmed ID | |
| Authors |
Tetsuo Kida, Emi Tanaka, Ryusuke Kakigi |
| Abstract |
Magnetoencephalography (MEG) and electroencephalography (EEG) are invaluable neuroscientific tools for unveiling human neural dynamics in three dimensions (space, time, and frequency), which are associated with a wide variety of perceptions, cognition, and actions. MEG/EEG also provides different categories of neuronal indices including activity magnitude, connectivity, and network properties along the three dimensions. In the last 20 years, interest has increased in inter-regional connectivity and complex network properties assessed by various sophisticated scientific analyses. We herein review the definition, computation, short history, and pros and cons of connectivity and complex network (graph-theory) analyses applied to MEG/EEG signals. We briefly describe recent developments in source reconstruction algorithms essential for source-space connectivity and network analyses. Furthermore, we discuss a relatively novel approach used in MEG/EEG studies to examine the complex dynamics represented by human brain activity. The correct and effective use of these neuronal metrics provides a new insight into the multi-dimensional dynamics of the neural representations of various functions in the complex human brain. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 13% |
| Italy | 3 | 13% |
| Spain | 3 | 13% |
| Canada | 1 | 4% |
| United Kingdom | 1 | 4% |
| Australia | 1 | 4% |
| Netherlands | 1 | 4% |
| Belgium | 1 | 4% |
| Switzerland | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 70% |
| Scientists | 7 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 157 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 23% |
| Researcher | 29 | 18% |
| Student > Master | 22 | 14% |
| Student > Bachelor | 15 | 9% |
| Professor | 8 | 5% |
| Other | 24 | 15% |
| Unknown | 25 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 44 | 28% |
| Engineering | 18 | 11% |
| Psychology | 18 | 11% |
| Agricultural and Biological Sciences | 14 | 9% |
| Medicine and Dentistry | 13 | 8% |
| Other | 18 | 11% |
| Unknown | 35 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 08 December 2021.
All research outputs
#2,820,281
of 25,578,098 outputs
Outputs from Frontiers in Human Neuroscience
#1,330
of 7,731 outputs
Outputs of similar age
#46,979
of 404,072 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#25
of 146 outputs
Altmetric has tracked 25,578,098 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,731 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 82% 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 404,072 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 88% 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 done well, scoring higher than 83% of its contemporaries.