| Title |
AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
|
|---|---|
| Published in |
Journal of Medical Systems, March 2020
|
| DOI | 10.1007/s10916-020-01562-1 |
| Pubmed ID | |
| Authors |
K. C. Santosh |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Ireland | 1 | 13% |
| India | 1 | 13% |
| Canada | 1 | 13% |
| Germany | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 681 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 681 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 80 | 12% |
| Student > Master | 79 | 12% |
| Student > Bachelor | 60 | 9% |
| Student > Ph. D. Student | 57 | 8% |
| Student > Doctoral Student | 38 | 6% |
| Other | 171 | 25% |
| Unknown | 196 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 100 | 15% |
| Medicine and Dentistry | 92 | 14% |
| Engineering | 44 | 6% |
| Nursing and Health Professions | 30 | 4% |
| Social Sciences | 25 | 4% |
| Other | 149 | 22% |
| Unknown | 241 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 July 2021.
All research outputs
#6,906,938
of 24,996,701 outputs
Outputs from Journal of Medical Systems
#243
of 1,245 outputs
Outputs of similar age
#123,568
of 372,196 outputs
Outputs of similar age from Journal of Medical Systems
#8
of 26 outputs
Altmetric has tracked 24,996,701 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,245 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 80% 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 372,196 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 26 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.