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X Demographics
Mendeley readers
Attention Score in Context
Title |
An automated heart rate-based algorithm for sleep stage classification: Validation using conventional polysomnography and an innovative wearable electrocardiogram device
|
---|---|
Published in |
Frontiers in Neuroscience, October 2022
|
DOI | 10.3389/fnins.2022.974192 |
Pubmed ID | |
Authors |
Nicolò Pini, Ju Lynn Ong, Gizem Yilmaz, Nicholas I. Y. N. Chee, Zhao Siting, Animesh Awasthi, Siddharth Biju, Kishan Kishan, Amiya Patanaik, William P. Fifer, Maristella Lucchini |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 15% |
Finland | 1 | 8% |
Singapore | 1 | 8% |
India | 1 | 8% |
Unknown | 8 | 62% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 92% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 12% |
Student > Bachelor | 6 | 12% |
Student > Doctoral Student | 3 | 6% |
Other | 2 | 4% |
Unspecified | 2 | 4% |
Other | 7 | 14% |
Unknown | 24 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 10% |
Medicine and Dentistry | 4 | 8% |
Computer Science | 3 | 6% |
Unspecified | 2 | 4% |
Environmental Science | 2 | 4% |
Other | 7 | 14% |
Unknown | 27 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 03 February 2023.
All research outputs
#3,135,400
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#2,199
of 11,543 outputs
Outputs of similar age
#63,883
of 440,179 outputs
Outputs of similar age from Frontiers in Neuroscience
#48
of 434 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% 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 well, scoring higher than 80% 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 440,179 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 85% of its contemporaries.
We're also able to compare this research output to 434 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.