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Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions

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 (98th percentile)

Mentioned by

news
20 news outlets
blogs
1 blog
twitter
14 tweeters

Readers on

mendeley
20 Mendeley
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Title
Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
Published in
Genome Biology (Online Edition), April 2021
DOI 10.1186/s13059-021-02315-0
Pubmed ID
Authors

Binsheng Gong, Dan Li, Rebecca Kusko, Natalia Novoradovskaya, Yifan Zhang, Shangzi Wang, Carlos Pabón-Peña, Zhihong Zhang, Kevin Lai, Wanshi Cai, Jennifer S. LoCoco, Eric Lader, Todd A. Richmond, Vinay K. Mittal, Liang-Chun Liu, Donald J. Johann, James C. Willey, Pierre R. Bushel, Ying Yu, Chang Xu, Guangchun Chen, Daniel Burgess, Simon Cawley, Kristina Giorda, Nathan Haseley, Fujun Qiu, Katherine Wilkins, Hanane Arib, Claire Attwooll, Kevin Babson, Longlong Bao, Wenjun Bao, Anne Bergstrom Lucas, Hunter Best, Ambica Bhandari, Halil Bisgin, James Blackburn, Thomas M. Blomquist, Lisa Boardman, Blake Burgher, Daniel J. Butler, Chia-Jung Chang, Alka Chaubey, Tao Chen, Marco Chierici, Christopher R. Chin, Devin Close, Jeffrey Conroy, Jessica Cooley Coleman, Daniel J. Craig, Erin Crawford, Angela del Pozo, Ira W. Deveson, Daniel Duncan, Agda Karina Eterovic, Xiaohui Fan, Jonathan Foox, Cesare Furlanello, Abhisek Ghosal, Sean Glenn, Meijian Guan, Christine Haag, Xinyi Hang, Scott Happe, Brittany Hennigan, Jennifer Hipp, Huixiao Hong, Kyle Horvath, Jianhong Hu, Li-Yuan Hung, Mirna Jarosz, Jennifer Kerkhof, Benjamin Kipp, David Philip Kreil, Paweł Łabaj, Pablo Lapunzina, Peng Li, Quan-Zhen Li, Weihua Li, Zhiguang Li, Yu Liang, Shaoqing Liu, Zhichao Liu, Charles Ma, Narasimha Marella, Rubén Martín-Arenas, Dalila B. Megherbi, Qingchang Meng, Piotr A. Mieczkowski, Tom Morrison, Donna Muzny, Baitang Ning, Barbara L. Parsons, Cloud P. Paweletz, Mehdi Pirooznia, Wubin Qu, Amelia Raymond, Paul Rindler, Rebecca Ringler, Bekim Sadikovic, Andreas Scherer, Egbert Schulze, Robert Sebra, Rita Shaknovich, Qiang Shi, Tieliu Shi, Juan Carlos Silla-Castro, Melissa Smith, Mario Solís López, Ping Song, Daniel Stetson, Maya Strahl, Alan Stuart, Julianna Supplee, Philippe Szankasi, Haowen Tan, Lin-ya Tang, Yonghui Tao, Shraddha Thakkar, Danielle Thierry-Mieg, Jean Thierry-Mieg, Venkat J. Thodima, David Thomas, Boris Tichý, Nikola Tom, Elena Vallespin Garcia, Suman Verma, Kimbley Walker, Charles Wang, Junwen Wang, Yexun Wang, Zhining Wen, Valtteri Wirta, Leihong Wu, Chunlin Xiao, Wenzhong Xiao, Shibei Xu, Mary Yang, Jianming Ying, Shun H. Yip, Guangliang Zhang, Sa Zhang, Meiru Zhao, Yuanting Zheng, Xiaoyan Zhou, Christopher E. Mason, Timothy Mercer, Weida Tong, Leming Shi, Wendell Jones, Joshua Xu

Twitter Demographics

The data shown below were collected from the profiles of 14 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 45%
Other 3 15%
Student > Ph. D. Student 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Agricultural and Biological Sciences 3 15%
Nursing and Health Professions 2 10%
Medicine and Dentistry 2 10%
Economics, Econometrics and Finance 1 5%
Other 2 10%
Unknown 3 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 153. 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
#176,023
of 19,762,584 outputs
Outputs from Genome Biology (Online Edition)
#83
of 3,864 outputs
Outputs of similar age
#4,892
of 271,601 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,762,584 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 3,864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 97% 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 271,601 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 98% 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