| Title |
Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2020
|
| DOI | 10.1186/s12967-020-02374-0 |
| Pubmed ID | |
| Authors |
Jingyuan Liu, Yao Liu, Pan Xiang, Lin Pu, Haofeng Xiong, Chuansheng Li, Ming Zhang, Jianbo Tan, Yanli Xu, Rui Song, Meihua Song, Lin Wang, Wei Zhang, Bing Han, Li Yang, Xiaojing Wang, Guiqin Zhou, Ting Zhang, Ben Li, Yanbin Wang, Zhihai Chen, Xianbo Wang |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 15% |
| United States | 2 | 8% |
| El Salvador | 2 | 8% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 16 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 88% |
| Practitioners (doctors, other healthcare professionals) | 3 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1171 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 132 | 11% |
| Researcher | 110 | 9% |
| Student > Master | 95 | 8% |
| Other | 91 | 8% |
| Student > Postgraduate | 85 | 7% |
| Other | 221 | 19% |
| Unknown | 437 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 359 | 31% |
| Immunology and Microbiology | 71 | 6% |
| Biochemistry, Genetics and Molecular Biology | 66 | 6% |
| Agricultural and Biological Sciences | 43 | 4% |
| Nursing and Health Professions | 42 | 4% |
| Other | 117 | 10% |
| Unknown | 473 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 August 2023.
All research outputs
#888,566
of 24,753,534 outputs
Outputs from Journal of Translational Medicine
#179
of 4,468 outputs
Outputs of similar age
#25,384
of 394,922 outputs
Outputs of similar age from Journal of Translational Medicine
#10
of 69 outputs
Altmetric has tracked 24,753,534 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 96% 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 394,922 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.