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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parameters
|
|---|---|
| Published in |
Journal of Intensive Care, February 2021
|
| DOI | 10.1186/s40560-021-00531-1 |
| Pubmed ID | |
| Authors |
Yue Gao, Lingxi Chen, Jianhua Chi, Shaoqing Zeng, Xikang Feng, Huayi Li, Dan Liu, Xinxia Feng, Siyuan Wang, Ya Wang, Ruidi Yu, Yuan Yuan, Sen Xu, Chunrui Li, Wei Zhang, Shuaicheng Li, Qinglei Gao |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 17% |
| Student > Bachelor | 8 | 11% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 23 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 33% |
| Engineering | 4 | 6% |
| Nursing and Health Professions | 4 | 6% |
| Computer Science | 4 | 6% |
| Social Sciences | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 24 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 May 2022.
All research outputs
#6,423,677
of 23,666,107 outputs
Outputs from Journal of Intensive Care
#260
of 529 outputs
Outputs of similar age
#141,181
of 421,845 outputs
Outputs of similar age from Journal of Intensive Care
#13
of 25 outputs
Altmetric has tracked 23,666,107 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has gotten more attention than average, scoring higher than 50% 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 421,845 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 66% of its contemporaries.
We're also able to compare this research output to 25 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 52% of its contemporaries.