| Title |
Effective treatment of severe COVID-19 patients with tocilizumab
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, April 2020
|
| DOI | 10.1073/pnas.2005615117 |
| Pubmed ID | |
| Authors |
Xiaoling Xu, Mingfeng Han, Tiantian Li, Wei Sun, Dongsheng Wang, Binqing Fu, Yonggang Zhou, Xiaohu Zheng, Yun Yang, Xiuyong Li, Xiaohua Zhang, Aijun Pan, Haiming Wei |
X Demographics
The data shown below were collected from the profiles of 373 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 | 63 | 17% |
| Spain | 32 | 9% |
| Japan | 10 | 3% |
| United Kingdom | 8 | 2% |
| India | 8 | 2% |
| France | 7 | 2% |
| Australia | 5 | 1% |
| Mexico | 5 | 1% |
| Brazil | 4 | 1% |
| Other | 37 | 10% |
| Unknown | 194 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 298 | 80% |
| Scientists | 45 | 12% |
| Science communicators (journalists, bloggers, editors) | 15 | 4% |
| Practitioners (doctors, other healthcare professionals) | 15 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,510 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2510 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 299 | 12% |
| Student > Bachelor | 293 | 12% |
| Student > Master | 203 | 8% |
| Student > Ph. D. Student | 186 | 7% |
| Other | 185 | 7% |
| Other | 509 | 20% |
| Unknown | 835 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 653 | 26% |
| Biochemistry, Genetics and Molecular Biology | 204 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 168 | 7% |
| Immunology and Microbiology | 102 | 4% |
| Agricultural and Biological Sciences | 84 | 3% |
| Other | 365 | 15% |
| Unknown | 934 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 692. 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 11 March 2024.
All research outputs
#30,690
of 25,743,152 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#888
of 103,647 outputs
Outputs of similar age
#1,417
of 409,784 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#28
of 935 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,647 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 99% 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 409,784 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 99% of its contemporaries.
We're also able to compare this research output to 935 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.