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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of exercise sudden death in rabbit exhaustive swimming using deep neural network
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2021
|
| DOI | 10.1186/s12938-021-00925-0 |
| Pubmed ID | |
| Authors |
Yao Zhang, Yineng Zheng, Menglu Wang, Xingming Guo |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Netherlands | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 31% |
| Student > Ph. D. Student | 3 | 8% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 12 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 33% |
| Unspecified | 2 | 6% |
| Engineering | 2 | 6% |
| Sports and Recreations | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 September 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from BioMedical Engineering OnLine
#540
of 834 outputs
Outputs of similar age
#292,591
of 429,504 outputs
Outputs of similar age from BioMedical Engineering OnLine
#10
of 18 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 834 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 31st percentile – i.e., 31% 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 429,504 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.