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A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency

Overview of attention for article published in Genome Biology (Online Edition), April 2021
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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 (96th percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
twitter
15 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
39 Mendeley
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Title
A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
Published in
Genome Biology (Online Edition), April 2021
DOI 10.1186/s13059-021-02316-z
Pubmed ID
Authors

Wendell Jones, Binsheng Gong, Natalia Novoradovskaya, Dan Li, Rebecca Kusko, Todd A. Richmond, Donald J. Johann, Halil Bisgin, Sayed Mohammad Ebrahim Sahraeian, Pierre R. Bushel, Mehdi Pirooznia, Katherine Wilkins, Marco Chierici, Wenjun Bao, Lee Scott Basehore, Anne Bergstrom Lucas, Daniel Burgess, Daniel J. Butler, Simon Cawley, Chia-Jung Chang, Guangchun Chen, Tao Chen, Yun-Ching Chen, Daniel J. Craig, Angela del Pozo, Jonathan Foox, Margherita Francescatto, Yutao Fu, Cesare Furlanello, Kristina Giorda, Kira P. Grist, Meijian Guan, Yingyi Hao, Scott Happe, Gunjan Hariani, Nathan Haseley, Jeff Jasper, Giuseppe Jurman, David Philip Kreil, Paweł Łabaj, Kevin Lai, Jianying Li, Quan-Zhen Li, Yulong Li, Zhiguang Li, Zhichao Liu, Mario Solís López, Kelci Miclaus, Raymond Miller, Vinay K. Mittal, Marghoob Mohiyuddin, Carlos Pabón-Peña, Barbara L. Parsons, Fujun Qiu, Andreas Scherer, Tieliu Shi, Suzy Stiegelmeyer, Chen Suo, Nikola Tom, Dong Wang, Zhining Wen, Leihong Wu, Wenzhong Xiao, Chang Xu, Ying Yu, Jiyang Zhang, Yifan Zhang, Zhihong Zhang, Yuanting Zheng, Christopher E. Mason, James C. Willey, Weida Tong, Leming Shi, Joshua Xu

Twitter Demographics

The data shown below were collected from the profiles of 15 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 38%
Other 4 10%
Student > Master 3 8%
Unspecified 2 5%
Librarian 1 3%
Other 4 10%
Unknown 10 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 36%
Agricultural and Biological Sciences 4 10%
Nursing and Health Professions 3 8%
Medicine and Dentistry 3 8%
Unspecified 1 3%
Other 5 13%
Unknown 9 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 16 September 2021.
All research outputs
#422,803
of 20,767,801 outputs
Outputs from Genome Biology (Online Edition)
#307
of 3,979 outputs
Outputs of similar age
#10,485
of 273,603 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,767,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done particularly well, scoring higher than 92% 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 273,603 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 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them