| Title |
ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019
|
|---|---|
| Published in |
Journal of Translational Medicine, August 2020
|
| DOI | 10.1186/s12967-020-02505-7 |
| Pubmed ID | |
| Authors |
Zhihong Weng, Qiaosen Chen, Sumeng Li, Huadong Li, Qian Zhang, Sihong Lu, Li Wu, Leiqun Xiong, Bobin Mi, Di Liu, Mengji Lu, Dongliang Yang, Hongbo Jiang, Shaoping Zheng, Xin Zheng |
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 % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 13% |
| Student > Bachelor | 15 | 12% |
| Researcher | 14 | 11% |
| Other | 9 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 17% |
| Unknown | 46 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 29% |
| Nursing and Health Professions | 10 | 8% |
| Agricultural and Biological Sciences | 5 | 4% |
| Social Sciences | 3 | 2% |
| Psychology | 3 | 2% |
| Other | 15 | 12% |
| Unknown | 54 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 December 2020.
All research outputs
#13,692,049
of 23,234,261 outputs
Outputs from Journal of Translational Medicine
#1,622
of 4,090 outputs
Outputs of similar age
#200,878
of 399,183 outputs
Outputs of similar age from Journal of Translational Medicine
#40
of 107 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,090 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 399,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 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 61% of its contemporaries.