| Title |
Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era
|
|---|---|
| Published in |
Frontiers in Public Health, November 2020
|
| DOI | 10.3389/fpubh.2020.556789 |
| Pubmed ID | |
| Authors |
Sonu Bhaskar, Sian Bradley, Sateesh Sakhamuri, Sebastian Moguilner, Vijay Kumar Chattu, Shawna Pandya, Starr Schroeder, Daniel Ray, Maciej Banach |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 3 | 16% |
| United States | 3 | 16% |
| Spain | 1 | 5% |
| United Kingdom | 1 | 5% |
| Canada | 1 | 5% |
| Tanzania, United Republic of | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Practitioners (doctors, other healthcare professionals) | 3 | 16% |
| Scientists | 3 | 16% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 246 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 9% |
| Student > Bachelor | 20 | 8% |
| Student > Ph. D. Student | 19 | 8% |
| Researcher | 17 | 7% |
| Lecturer | 14 | 6% |
| Other | 47 | 19% |
| Unknown | 106 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 11% |
| Computer Science | 16 | 7% |
| Engineering | 16 | 7% |
| Nursing and Health Professions | 14 | 6% |
| Social Sciences | 12 | 5% |
| Other | 47 | 19% |
| Unknown | 114 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 15 January 2022.
All research outputs
#1,492,072
of 22,882,389 outputs
Outputs from Frontiers in Public Health
#583
of 10,007 outputs
Outputs of similar age
#41,461
of 418,992 outputs
Outputs of similar age from Frontiers in Public Health
#42
of 395 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,007 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 94% 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 418,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 395 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.