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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Harnessing Machine Learning and Physiological Knowledge for a Novel EMG-Based Neural-Machine Interface
|
|---|---|
| Published in |
IEEE Transactions on Biomedical Engineering, March 2023
|
| DOI | 10.1109/tbme.2022.3210892 |
| Pubmed ID | |
| Authors |
Joseph Berman, Robert Hinson, I-Chieh Lee, He Huang |
X Demographics
The data shown below were collected from the profiles of 43 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 States | 12 | 28% |
| Brazil | 2 | 5% |
| United Kingdom | 2 | 5% |
| Canada | 2 | 5% |
| Italy | 1 | 2% |
| Poland | 1 | 2% |
| Mexico | 1 | 2% |
| France | 1 | 2% |
| India | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 65% |
| Scientists | 15 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Researcher | 2 | 8% |
| Student > Postgraduate | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 32% |
| Unspecified | 3 | 12% |
| Materials Science | 1 | 4% |
| Unknown | 13 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 31 January 2023.
All research outputs
#1,381,125
of 25,765,370 outputs
Outputs from IEEE Transactions on Biomedical Engineering
#74
of 4,700 outputs
Outputs of similar age
#28,809
of 424,345 outputs
Outputs of similar age from IEEE Transactions on Biomedical Engineering
#1
of 34 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,700 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 98% 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 424,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 34 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 97% of its contemporaries.