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Structure of the RNA-dependent RNA polymerase from COVID-19 virus

Overview of attention for article published in Science, April 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Citations

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1276 Dimensions

Readers on

mendeley
2051 Mendeley
Title
Structure of the RNA-dependent RNA polymerase from COVID-19 virus
Published in
Science, April 2020
DOI 10.1126/science.abb7498
Pubmed ID
Authors

Yan Gao, Liming Yan, Yucen Huang, Fengjiang Liu, Yao Zhao, Lin Cao, Tao Wang, Qianqian Sun, Zhenhua Ming, Lianqi Zhang, Ji Ge, Litao Zheng, Ying Zhang, Haofeng Wang, Yan Zhu, Chen Zhu, Tianyu Hu, Tian Hua, Bing Zhang, Xiuna Yang, Jun Li, Haitao Yang, Zhijie Liu, Wenqing Xu, Luke W Guddat, Quan Wang, Zhiyong Lou, Zihe Rao

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,068 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,051 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2051 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 322 16%
Researcher 247 12%
Student > Ph. D. Student 240 12%
Student > Master 216 11%
Student > Doctoral Student 76 4%
Other 306 15%
Unknown 644 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 459 22%
Chemistry 172 8%
Medicine and Dentistry 143 7%
Agricultural and Biological Sciences 136 7%
Pharmacology, Toxicology and Pharmaceutical Science 107 5%
Other 286 14%
Unknown 748 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 853. 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 13 February 2024.
All research outputs
#21,537
of 25,746,891 outputs
Outputs from Science
#1,019
of 83,279 outputs
Outputs of similar age
#1,023
of 402,087 outputs
Outputs of similar age from Science
#57
of 952 outputs
Altmetric has tracked 25,746,891 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 83,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done particularly well, scoring higher than 98% 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 402,087 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 952 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 94% of its contemporaries.