Title |
Multiple approaches for massively parallel sequencing of SARS-CoV-2 genomes directly from clinical samples
|
---|---|
Published in |
Genome Medicine, June 2020
|
DOI | 10.1186/s13073-020-00751-4 |
Pubmed ID | |
Authors |
Minfeng Xiao, Xiaoqing Liu, Jingkai Ji, Min Li, Jiandong Li, Lin Yang, Wanying Sun, Peidi Ren, Guifang Yang, Jincun Zhao, Tianzhu Liang, Huahui Ren, Tian Chen, Huanzi Zhong, Wenchen Song, Yanqun Wang, Ziqing Deng, Yanping Zhao, Zhihua Ou, Daxi Wang, Jielun Cai, Xinyi Cheng, Taiqing Feng, Honglong Wu, Yanping Gong, Huanming Yang, Jian Wang, Xun Xu, Shida Zhu, Fang Chen, Yanyan Zhang, Weijun Chen, Yimin Li, Junhua Li |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
Australia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 246 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 44 | 18% |
Student > Bachelor | 32 | 13% |
Student > Master | 30 | 12% |
Student > Ph. D. Student | 21 | 9% |
Professor | 12 | 5% |
Other | 34 | 14% |
Unknown | 73 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 44 | 18% |
Medicine and Dentistry | 30 | 12% |
Agricultural and Biological Sciences | 21 | 9% |
Immunology and Microbiology | 14 | 6% |
Engineering | 8 | 3% |
Other | 42 | 17% |
Unknown | 87 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 20 December 2022.
All research outputs
#2,046,481
of 25,301,208 outputs
Outputs from Genome Medicine
#457
of 1,567 outputs
Outputs of similar age
#53,066
of 405,242 outputs
Outputs of similar age from Genome Medicine
#11
of 28 outputs
Altmetric has tracked 25,301,208 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has gotten more attention than average, scoring higher than 70% 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 405,242 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 28 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 64% of its contemporaries.