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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, May 2021
|
| DOI | 10.3389/fnhum.2021.675154 |
| Pubmed ID | |
| Authors |
Saeed Montazeri Moghadam, Elana Pinchefsky, Ilse Tse, Viviana Marchi, Jukka Kohonen, Minna Kauppila, Manu Airaksinen, Karoliina Tapani, Päivi Nevalainen, Cecil Hahn, Emily W. Y. Tam, Nathan J. Stevenson, Sampsa Vanhatalo |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Student > Master | 4 | 18% |
| Lecturer | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 18% |
| Medicine and Dentistry | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Environmental Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 55% |
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 13 September 2022.
All research outputs
#16,639,516
of 26,017,215 outputs
Outputs from Frontiers in Human Neuroscience
#4,876
of 7,768 outputs
Outputs of similar age
#250,276
of 463,082 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#102
of 178 outputs
Altmetric has tracked 26,017,215 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 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 36th percentile – i.e., 36% 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 463,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.