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Attention Score in Context
Title |
Electrical impedance imaging system using FPGAs for flexibility and interoperability
|
---|---|
Published in |
BioMedical Engineering OnLine, August 2014
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DOI | 10.1186/1475-925x-13-126 |
Pubmed ID | |
Authors |
Harsh Sohal, Hun Wi, Alistair Lee McEwan, Eung Je Woo, Tong In Oh |
Abstract |
Modern EIT systems require simultaneously operating multiple functions for flexibility, interoperability, and clinical applicability. To implement versatile functions, expandable design and implementation tools are needed. On the other hand, it is necessary to develop an ASIC-based EIT system to maximize its performance. Since the ASIC design is expensive and unchangeable, we can use FPGAs as a prior step to the digital ASIC design and carefully classify which functions should be included in the ASIC. In this paper, we describe the details of the FPGA design adopted in the KHU Mark2.5 EIT system. |
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 % |
---|---|---|
Mexico | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
United States | 1 | 2% |
Unknown | 45 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 17% |
Student > Master | 7 | 15% |
Researcher | 6 | 13% |
Lecturer | 4 | 9% |
Other | 3 | 6% |
Other | 9 | 19% |
Unknown | 10 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 23 | 49% |
Computer Science | 3 | 6% |
Medicine and Dentistry | 3 | 6% |
Social Sciences | 2 | 4% |
Physics and Astronomy | 1 | 2% |
Other | 3 | 6% |
Unknown | 12 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 September 2014.
All research outputs
#15,305,567
of 22,763,032 outputs
Outputs from BioMedical Engineering OnLine
#424
of 824 outputs
Outputs of similar age
#136,328
of 236,046 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 18 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 236,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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 61% of its contemporaries.