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Mendeley readers
Attention Score in Context
| Title |
Automatic online detection of atrial fibrillation based on symbolic dynamics and Shannon entropy
|
|---|---|
| Published in |
BioMedical Engineering OnLine, February 2014
|
| DOI | 10.1186/1475-925x-13-18 |
| Pubmed ID | |
| Authors |
Xiaolin Zhou, Hongxia Ding, Benjamin Ung, Emma Pickwell-MacPherson, Yuanting Zhang |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Hong Kong | 1 | <1% |
| Unknown | 101 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Student > Master | 18 | 17% |
| Researcher | 14 | 14% |
| Student > Bachelor | 7 | 7% |
| Lecturer | 4 | 4% |
| Other | 17 | 17% |
| Unknown | 23 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 34 | 33% |
| Computer Science | 17 | 17% |
| Medicine and Dentistry | 11 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 27 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 June 2021.
All research outputs
#8,543,833
of 25,394,764 outputs
Outputs from BioMedical Engineering OnLine
#238
of 867 outputs
Outputs of similar age
#80,564
of 238,255 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 17 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 60% 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 238,255 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 51% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.