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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning
|
|---|---|
| Published in |
BMC Infectious Diseases, February 2021
|
| DOI | 10.1186/s12879-021-05839-9 |
| Pubmed ID | |
| Authors |
Xingrui Wang, Qinglin Che, Xiaoxiao Ji, Xinyi Meng, Lang Zhang, Rongrong Jia, Hairong Lyu, Weixian Bai, Lingjie Tan, Yanjun Gao |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Netherlands | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 13% |
| Researcher | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 5 | 7% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 26 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Nursing and Health Professions | 5 | 7% |
| Engineering | 5 | 7% |
| Computer Science | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 29 | 43% |
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 15 May 2021.
All research outputs
#13,214,230
of 23,283,373 outputs
Outputs from BMC Infectious Diseases
#3,093
of 7,792 outputs
Outputs of similar age
#192,451
of 420,296 outputs
Outputs of similar age from BMC Infectious Diseases
#83
of 194 outputs
Altmetric has tracked 23,283,373 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 7,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 58% 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 420,296 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 53% of its contemporaries.
We're also able to compare this research output to 194 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 56% of its contemporaries.