Title |
Antibody responses to SARS-CoV-2 in patients with COVID-19
|
---|---|
Published in |
Nature Medicine, April 2020
|
DOI | 10.1038/s41591-020-0897-1 |
Pubmed ID | |
Authors |
Quan-Xin Long, Bai-Zhong Liu, Hai-Jun Deng, Gui-Cheng Wu, Kun Deng, Yao-Kai Chen, Pu Liao, Jing-Fu Qiu, Yong Lin, Xue-Fei Cai, De-Qiang Wang, Yuan Hu, Ji-Hua Ren, Ni Tang, Yin-Yin Xu, Li-Hua Yu, Zhan Mo, Fang Gong, Xiao-Li Zhang, Wen-Guang Tian, Li Hu, Xian-Xiang Zhang, Jiang-Lin Xiang, Hong-Xin Du, Hua-Wen Liu, Chun-Hui Lang, Xiao-He Luo, Shao-Bo Wu, Xiao-Ping Cui, Zheng Zhou, Man-Man Zhu, Jing Wang, Cheng-Jun Xue, Xiao-Feng Li, Li Wang, Zhi-Jie Li, Kun Wang, Chang-Chun Niu, Qing-Jun Yang, Xiao-Jun Tang, Yong Zhang, Xia-Mao Liu, Jin-Jing Li, De-Chun Zhang, Fan Zhang, Ping Liu, Jun Yuan, Qin Li, Jie-Li Hu, Juan Chen, Ai-Long Huang |
X Demographics
The data shown below were collected from the profiles of 7,295 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1402 | 19% |
Italy | 889 | 12% |
United States | 310 | 4% |
Mexico | 204 | 3% |
Spain | 186 | 3% |
United Kingdom | 122 | 2% |
France | 85 | 1% |
Japan | 79 | 1% |
Saudi Arabia | 48 | <1% |
Other | 532 | 7% |
Unknown | 3438 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6552 | 90% |
Scientists | 458 | 6% |
Practitioners (doctors, other healthcare professionals) | 175 | 2% |
Science communicators (journalists, bloggers, editors) | 109 | 1% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,823 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2823 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 403 | 14% |
Student > Bachelor | 299 | 11% |
Student > Ph. D. Student | 288 | 10% |
Student > Master | 266 | 9% |
Other | 185 | 7% |
Other | 538 | 19% |
Unknown | 844 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 586 | 21% |
Biochemistry, Genetics and Molecular Biology | 344 | 12% |
Immunology and Microbiology | 271 | 10% |
Agricultural and Biological Sciences | 165 | 6% |
Engineering | 80 | 3% |
Other | 421 | 15% |
Unknown | 956 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3970. 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 29 November 2023.
All research outputs
#1,261
of 25,748,735 outputs
Outputs from Nature Medicine
#31
of 9,418 outputs
Outputs of similar age
#123
of 409,795 outputs
Outputs of similar age from Nature Medicine
#4
of 157 outputs
Altmetric has tracked 25,748,735 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 9,418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 105.7. 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 409,795 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 157 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.