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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multichannel ECG recording from waist using textile sensors
|
|---|---|
| Published in |
BioMedical Engineering OnLine, June 2020
|
| DOI | 10.1186/s12938-020-00788-x |
| Pubmed ID | |
| Authors |
Milad Alizadeh Meghrazi, Yupeng Tian, Amin Mahnam, Presish Bhattachan, Ladan Eskandarian, Sara Taghizadeh Kakhki, Milos R. Popovic, Milad Lankarany |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 38% |
| United Arab Emirates | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 13% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Master | 8 | 11% |
| Other | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 28 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 23% |
| Medicine and Dentistry | 7 | 9% |
| Computer Science | 6 | 8% |
| Materials Science | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 31 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 June 2020.
All research outputs
#5,065,378
of 24,083,187 outputs
Outputs from BioMedical Engineering OnLine
#133
of 849 outputs
Outputs of similar age
#110,609
of 374,875 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 15 outputs
Altmetric has tracked 24,083,187 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 374,875 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 70% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.