| Title |
CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method
|
|---|---|
| Published in |
BMC Pulmonary Medicine, May 2020
|
| DOI | 10.1186/s12890-020-1170-6 |
| Pubmed ID | |
| Authors |
Lin Luo, Zhendong Luo, Yizhen Jia, Cuiping Zhou, Jianlong He, Jianxun Lyu, Xinping Shen |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 26 | 13% |
| Researcher | 24 | 12% |
| Student > Master | 23 | 12% |
| Student > Postgraduate | 16 | 8% |
| Other | 13 | 7% |
| Other | 39 | 20% |
| Unknown | 53 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 36% |
| Nursing and Health Professions | 14 | 7% |
| Biochemistry, Genetics and Molecular Biology | 8 | 4% |
| Social Sciences | 8 | 4% |
| Engineering | 5 | 3% |
| Other | 26 | 13% |
| Unknown | 64 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 August 2023.
All research outputs
#5,720,045
of 23,917,011 outputs
Outputs from BMC Pulmonary Medicine
#391
of 2,037 outputs
Outputs of similar age
#113,861
of 385,466 outputs
Outputs of similar age from BMC Pulmonary Medicine
#14
of 60 outputs
Altmetric has tracked 23,917,011 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,037 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 385,466 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 70% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.