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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 (95th percentile)

Citations

dimensions_citation
418 Dimensions

Readers on

mendeley
1231 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

Twitter Demographics

The data shown below were collected from the profiles of 1,218 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1231 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 195 16%
Researcher 187 15%
Student > Ph. D. Student 177 14%
Student > Master 128 10%
Student > Doctoral Student 54 4%
Other 235 19%
Unknown 255 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 307 25%
Chemistry 120 10%
Medicine and Dentistry 97 8%
Agricultural and Biological Sciences 95 8%
Pharmacology, Toxicology and Pharmaceutical Science 66 5%
Other 217 18%
Unknown 329 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 937. 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 27 February 2021.
All research outputs
#8,575
of 17,136,794 outputs
Outputs from Science
#562
of 70,158 outputs
Outputs of similar age
#605
of 277,380 outputs
Outputs of similar age from Science
#41
of 930 outputs
Altmetric has tracked 17,136,794 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 70,158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.4. 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 277,380 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 930 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 95% of its contemporaries.