| Title |
Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2020
|
| DOI | 10.1186/s12938-020-00809-9 |
| Pubmed ID | |
| Authors |
Chenglong Liu, Xiaoyang Wang, Chenbin Liu, Qingfeng Sun, Wenxian Peng |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Netherlands | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 12% |
| Student > Master | 15 | 10% |
| Researcher | 14 | 10% |
| Student > Ph. D. Student | 11 | 8% |
| Other | 10 | 7% |
| Other | 20 | 14% |
| Unknown | 59 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 16% |
| Computer Science | 19 | 13% |
| Engineering | 13 | 9% |
| Nursing and Health Professions | 5 | 3% |
| Psychology | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 67 | 46% |
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 29 July 2022.
All research outputs
#14,447,504
of 25,460,914 outputs
Outputs from BioMedical Engineering OnLine
#346
of 868 outputs
Outputs of similar age
#202,488
of 426,544 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 9 outputs
Altmetric has tracked 25,460,914 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 868 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 59% 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 426,544 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 51% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.