| Title |
Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2505-7 |
| Pubmed ID | |
| Authors |
Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 17% |
| Student > Bachelor | 9 | 14% |
| Researcher | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 24 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 26% |
| Medicine and Dentistry | 6 | 9% |
| Computer Science | 5 | 8% |
| Nursing and Health Professions | 4 | 6% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 28 | 43% |
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 30 December 2020.
All research outputs
#7,067,698
of 23,120,280 outputs
Outputs from BMC Bioinformatics
#2,717
of 7,330 outputs
Outputs of similar age
#144,816
of 435,957 outputs
Outputs of similar age from BMC Bioinformatics
#73
of 206 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 435,957 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 66% of its contemporaries.
We're also able to compare this research output to 206 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 62% of its contemporaries.