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Attention Score in Context
| Title |
Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, November 2015
|
| DOI | 10.3389/fnhum.2015.00617 |
| Pubmed ID | |
| Authors |
Alexander von Lühmann, Christian Herff, Dominic Heger, Tanja Schultz |
| Abstract |
Brain-Computer Interfaces (BCIs) and neuroergonomics research have high requirements regarding robustness and mobility. Additionally, fast applicability and customization are desired. Functional Near-Infrared Spectroscopy (fNIRS) is an increasingly established technology with a potential to satisfy these conditions. EEG acquisition technology, currently one of the main modalities used for mobile brain activity assessment, is widely spread and open for access and thus easily customizable. fNIRS technology on the other hand has either to be bought as a predefined commercial solution or developed from scratch using published literature. To help reducing time and effort of future custom designs for research purposes, we present our approach toward an open source multichannel stand-alone fNIRS instrument for mobile NIRS-based neuroimaging, neuroergonomics and BCI/BMI applications. The instrument is low-cost, miniaturized, wireless and modular and openly documented on www.opennirs.org. It provides features such as scalable channel number, configurable regulated light intensities, programmable gain and lock-in amplification. In this paper, the system concept, hardware, software and mechanical implementation of the lightweight stand-alone instrument are presented and the evaluation and verification results of the instrument's hardware and physiological fNIRS functionality are described. Its capability to measure brain activity is demonstrated by qualitative signal assessments and a quantitative mental arithmetic based BCI study with 12 subjects. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| Switzerland | 1 | 7% |
| Australia | 1 | 7% |
| Chile | 1 | 7% |
| Canada | 1 | 7% |
| Italy | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Practitioners (doctors, other healthcare professionals) | 2 | 14% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Unknown | 147 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 22% |
| Student > Ph. D. Student | 27 | 18% |
| Student > Bachelor | 15 | 10% |
| Professor > Associate Professor | 11 | 7% |
| Student > Master | 11 | 7% |
| Other | 26 | 17% |
| Unknown | 27 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 41 | 27% |
| Neuroscience | 18 | 12% |
| Medicine and Dentistry | 15 | 10% |
| Computer Science | 11 | 7% |
| Psychology | 10 | 7% |
| Other | 19 | 13% |
| Unknown | 36 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 05 November 2020.
All research outputs
#3,006,555
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#1,409
of 7,638 outputs
Outputs of similar age
#40,250
of 289,096 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#28
of 158 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 81% 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 289,096 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 86% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.