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Rapid reconstruction of SARS-CoV-2 using a synthetic genomics platform

Overview of attention for article published in Nature, May 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 (93rd percentile)

Citations

dimensions_citation
343 Dimensions

Readers on

mendeley
694 Mendeley
Title
Rapid reconstruction of SARS-CoV-2 using a synthetic genomics platform
Published in
Nature, May 2020
DOI 10.1038/s41586-020-2294-9
Pubmed ID
Authors

Tran Thi Nhu Thao, Fabien Labroussaa, Nadine Ebert, Philip V’kovski, Hanspeter Stalder, Jasmine Portmann, Jenna Kelly, Silvio Steiner, Melle Holwerda, Annika Kratzel, Mitra Gultom, Kimberly Schmied, Laura Laloli, Linda Hüsser, Manon Wider, Stephanie Pfaender, Dagny Hirt, Valentina Cippà, Silvia Crespo-Pomar, Simon Schröder, Doreen Muth, Daniela Niemeyer, Victor M. Corman, Marcel A. Müller, Christian Drosten, Ronald Dijkman, Joerg Jores, Volker Thiel

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 1,983 tweeters 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 694 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 694 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 125 18%
Student > Ph. D. Student 95 14%
Student > Bachelor 66 10%
Student > Master 59 9%
Other 33 5%
Other 122 18%
Unknown 194 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 152 22%
Agricultural and Biological Sciences 88 13%
Immunology and Microbiology 64 9%
Medicine and Dentistry 63 9%
Veterinary Science and Veterinary Medicine 14 2%
Other 99 14%
Unknown 214 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1426. 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 19 September 2023.
All research outputs
#8,112
of 24,503,201 outputs
Outputs from Nature
#865
of 95,205 outputs
Outputs of similar age
#432
of 384,680 outputs
Outputs of similar age from Nature
#63
of 940 outputs
Altmetric has tracked 24,503,201 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 95,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 101.8. 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 384,680 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 940 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 93% of its contemporaries.