| Title |
Artificial Intelligence Clinicians Can Use Chest Computed Tomography Technology to Automatically Diagnose Coronavirus Disease 2019 (COVID-19) Pneumonia and Enhance Low-Quality Images
|
|---|---|
| Published in |
Infection and Drug Resistance, February 2021
|
| DOI | 10.2147/idr.s296346 |
| Pubmed ID | |
| Authors |
Quan Zhang, Zhuo Chen, Guohua Liu, Wenjia Zhang, Qian Du, Jiayuan Tan, Qianqian Gao |
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% |
| India | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Lecturer | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 27 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 18% |
| Engineering | 5 | 9% |
| Computer Science | 3 | 5% |
| Business, Management and Accounting | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 30 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 March 2021.
All research outputs
#14,645,031
of 25,779,988 outputs
Outputs from Infection and Drug Resistance
#442
of 2,073 outputs
Outputs of similar age
#251,164
of 538,853 outputs
Outputs of similar age from Infection and Drug Resistance
#21
of 74 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,073 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 78% 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 538,853 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 52% of its contemporaries.
We're also able to compare this research output to 74 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 70% of its contemporaries.