The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Toward the Understanding of Topographical and Spectral Signatures of Infant Movement Artifacts in Naturalistic EEG
|
---|---|
Published in |
Frontiers in Neuroscience, April 2020
|
DOI | 10.3389/fnins.2020.00352 |
Pubmed ID | |
Authors |
Stanimira Georgieva, Suzannah Lester, Valdas Noreika, Meryem Nazli Yilmaz, Sam Wass, Victoria Leong |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 17% |
Netherlands | 2 | 7% |
Belgium | 2 | 7% |
Germany | 2 | 7% |
Italy | 2 | 7% |
Switzerland | 2 | 7% |
France | 1 | 3% |
China | 1 | 3% |
Guinea | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 18 | 62% |
Members of the public | 9 | 31% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 29% |
Student > Master | 5 | 10% |
Student > Bachelor | 5 | 10% |
Researcher | 5 | 10% |
Lecturer | 4 | 8% |
Other | 8 | 15% |
Unknown | 10 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 13 | 25% |
Neuroscience | 9 | 17% |
Engineering | 8 | 15% |
Medicine and Dentistry | 3 | 6% |
Computer Science | 2 | 4% |
Other | 7 | 13% |
Unknown | 10 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 14 August 2022.
All research outputs
#1,439,552
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#674
of 11,543 outputs
Outputs of similar age
#40,424
of 408,120 outputs
Outputs of similar age from Frontiers in Neuroscience
#30
of 366 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 94% 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 408,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.