↓ Skip to main content

Development of an inactivated vaccine candidate for SARS-CoV-2

Overview of attention for article published in Science, May 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 68,423)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
215 Dimensions

Readers on

mendeley
523 Mendeley
Title
Development of an inactivated vaccine candidate for SARS-CoV-2
Published in
Science, May 2020
DOI 10.1126/science.abc1932
Pubmed ID
Authors

Qiang Gao, Linlin Bao, Haiyan Mao, Lin Wang, Kangwei Xu, Minnan Yang, Yajing Li, Ling Zhu, Nan Wang, Zhe Lv, Hong Gao, Xiaoqin Ge, Biao Kan, Yaling Hu, Jiangning Liu, Fang Cai, Deyu Jiang, Yanhui Yin, Chengfeng Qin, Jing Li, Xuejie Gong, Xiuyu Lou, Wen Shi, Dongdong Wu, Hengming Zhang, Lang Zhu, Wei Deng, Yurong Li, Jinxing Lu, Changgui Li, Xiangxi Wang, Weidong Yin, Yanjun Zhang, Chuan Qin

Twitter Demographics

The data shown below were collected from the profiles of 3,939 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 523 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 523 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 95 18%
Student > Bachelor 69 13%
Student > Ph. D. Student 59 11%
Student > Master 53 10%
Other 41 8%
Other 107 20%
Unknown 99 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 93 18%
Immunology and Microbiology 69 13%
Medicine and Dentistry 60 11%
Agricultural and Biological Sciences 48 9%
Pharmacology, Toxicology and Pharmaceutical Science 22 4%
Other 114 22%
Unknown 117 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3288. 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 25 October 2020.
All research outputs
#641
of 16,094,382 outputs
Outputs from Science
#43
of 68,423 outputs
Outputs of similar age
#137
of 281,865 outputs
Outputs of similar age from Science
#7
of 950 outputs
Altmetric has tracked 16,094,382 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 68,423 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.3. 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 281,865 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 950 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 99% of its contemporaries.