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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extracting wavelet based neural features from human intracortical recordings for neuroprosthetics applications
|
|---|---|
| Published in |
Bioelectronic Medicine, July 2018
|
| DOI | 10.1186/s42234-018-0011-x |
| Pubmed ID | |
| Authors |
Mingming Zhang, Michael A. Schwemmer, Jordyn E. Ting, Connor E. Majstorovic, David A. Friedenberg, Marcia A. Bockbrader, W. Jerry Mysiw, Ali R. Rezai, Nicholas V. Annetta, Chad E. Bouton, Herbert S. Bresler, Gaurav Sharma |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Researcher | 8 | 20% |
| Student > Doctoral Student | 5 | 13% |
| Student > Bachelor | 2 | 5% |
| Professor | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 10 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 30% |
| Neuroscience | 7 | 18% |
| Agricultural and Biological Sciences | 3 | 8% |
| Computer Science | 2 | 5% |
| Physics and Astronomy | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 11 | 28% |
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 14 January 2019.
All research outputs
#6,838,173
of 23,098,660 outputs
Outputs from Bioelectronic Medicine
#42
of 105 outputs
Outputs of similar age
#116,065
of 329,833 outputs
Outputs of similar age from Bioelectronic Medicine
#3
of 5 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 105 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has gotten more attention than average, scoring higher than 59% 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 329,833 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 64% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.