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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a Body Sensor Network to Detect Motor Patterns of Epileptic Seizures
|
|---|---|
| Published in |
IEEE Transactions on Biomedical Engineering, June 2012
|
| DOI | 10.1109/tbme.2012.2204990 |
| Pubmed ID | |
| Authors |
Anthony Dalton, Shyamal Patel, Atanu Roy Chowdhury, Matt Welsh, Trudy Pang, Steven Schachter, Gearóid ÓLaighin, Paolo Bonato |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Ethiopia | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 120 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 23% |
| Student > Master | 15 | 12% |
| Researcher | 11 | 9% |
| Other | 10 | 8% |
| Student > Bachelor | 10 | 8% |
| Other | 30 | 24% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 39 | 31% |
| Medicine and Dentistry | 18 | 14% |
| Computer Science | 13 | 10% |
| Psychology | 4 | 3% |
| Unspecified | 4 | 3% |
| Other | 21 | 17% |
| Unknown | 27 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 April 2016.
All research outputs
#7,960,693
of 25,377,790 outputs
Outputs from IEEE Transactions on Biomedical Engineering
#1,563
of 4,673 outputs
Outputs of similar age
#54,557
of 179,572 outputs
Outputs of similar age from IEEE Transactions on Biomedical Engineering
#19
of 46 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,673 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 65% 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 179,572 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 67% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.