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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatiotemporal representation of cardiac vectorcardiogram (VCG) signals
|
|---|---|
| Published in |
BioMedical Engineering OnLine, March 2012
|
| DOI | 10.1186/1475-925x-11-16 |
| Pubmed ID | |
| Authors |
Hui Yang, Satish TS Bukkapatnam, Ranga Komanduri |
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 % |
|---|---|---|
| China | 1 | 50% |
| Mexico | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Germany | 1 | 1% |
| Unknown | 83 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Researcher | 12 | 14% |
| Student > Bachelor | 8 | 9% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 28 | 33% |
| Medicine and Dentistry | 13 | 15% |
| Computer Science | 7 | 8% |
| Agricultural and Biological Sciences | 5 | 6% |
| Mathematics | 3 | 3% |
| Other | 5 | 6% |
| Unknown | 25 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 02 December 2021.
All research outputs
#3,274,996
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#66
of 867 outputs
Outputs of similar age
#20,076
of 172,697 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 92% 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 172,697 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 88% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.