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Mendeley readers
Attention Score in Context
| Title |
Conducting polymer coated neural recording electrodes
|
|---|---|
| Published in |
Journal of Neural Engineering, December 2012
|
| DOI | 10.1088/1741-2560/10/1/016004 |
| Pubmed ID | |
| Authors |
Alexander R Harris, Simeon J Morgan, Jun Chen, Robert M I Kapsa, Gordon G Wallace, Antonio G Paolini |
| Abstract |
Neural recording electrodes suffer from poor signal to noise ratio, charge density, biostability and biocompatibility. This paper investigates the ability of conducting polymer coated electrodes to record acute neural response in a systematic manner, allowing in depth comparison of electrochemical and electrophysiological response. |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Israel | 1 | <1% |
| Egypt | 1 | <1% |
| Russia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 129 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 30% |
| Researcher | 30 | 22% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 21 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 40 | 30% |
| Agricultural and Biological Sciences | 18 | 13% |
| Materials Science | 17 | 13% |
| Chemistry | 11 | 8% |
| Neuroscience | 10 | 7% |
| Other | 14 | 10% |
| Unknown | 25 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 September 2019.
All research outputs
#4,697,128
of 22,792,160 outputs
Outputs from Journal of Neural Engineering
#343
of 1,607 outputs
Outputs of similar age
#49,707
of 279,083 outputs
Outputs of similar age from Journal of Neural Engineering
#4
of 15 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,607 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 75% 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 279,083 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 80% 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 gotten more attention than average, scoring higher than 73% of its contemporaries.