The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

About Followers

Latest preprint reviews

  1. Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins

    1. Tommy Tsan-Yuk Lam
    2. Na Jia
    3. Ya-Wei Zhang
    4. Marcus Ho-Hin Shum
    5. Jia-Fu Jiang
    6. Hua-Chen Zhu
    7. Yi-Gang Tong
    8. Yong-Xia Shi
    9. Xue-Bing Ni
    10. Yun-Shi Liao
    11. Wen-Juan Li
    12. Bao-Gui Jiang
    13. Wei Wei
    14. Ting-Ting Yuan
    15. Kui Zheng
    16. Xiao-Ming Cui
    17. Jie Li
    18. Guang-Qian Pei
    19. Xin Qiang
    20. William Yiu-Man Cheung
    21. Lian-Feng Li
    22. Fang-Fang Sun
    23. Si Qin
    24. Ji-Cheng Huang
    25. Gabriel M. Leung
    26. Edward C. Holmes
    27. Yan-Ling Hu
    28. Yi Guan
    29. Wu-Chun Cao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Structure of dimeric full-length human ACE2 in complex with B 0 AT1

    1. Renhong Yan
    2. Yuanyuan Zhang
    3. Yaning Li
    4. Lu Xia
    5. Qiang Zhou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A model simulation study on effects of intervention measures in Wuhan COVID-19 epidemic

    1. Guopeng Zhou
    2. Chunhua Chi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The difference in the incubation period of 2019 novel coronavirus (SARS-CoV-2) infection between travelers to Hubei and nontravelers: The need for a longer quarantine period

    1. Char Leung

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Can Search Query Forecast successfully in China’s novel coronavirus (2019-nCov) pneumonia?

    1. LI Xiaoxuan
    2. WU Qi
    3. Lv Bbenfu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Optimizing diagnostic strategy for novel coronavirus pneumonia, a multi-center study in Eastern China

    1. Jing-Wen Ai
    2. Hao-Cheng Zhang
    3. Teng Xu
    4. Jing Wu
    5. Mengqi Zhu
    6. Yi-Qi Yu
    7. Han-Yue Zhang
    8. Yang Li
    9. Xian Zhou
    10. Zhongliang Shen
    11. Guo-Qing Zang
    12. Jie Xu
    13. Wen-Jing Chen
    14. Yong-Jun Li
    15. De-Sheng Xie
    16. Ming-Zhe Zhou
    17. Jing-Ying Sun
    18. Jia-Zhen Chen
    19. Wen-Hong Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

    1. Shuai Wang
    2. Bo Kang
    3. Jinlu Ma
    4. Xianjun Zeng
    5. Mingming Xiao
    6. Jia Guo
    7. Mengjiao Cai
    8. Jingyi Yang
    9. Yaodong Li
    10. Xiangfei Meng
    11. Bo Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Potential impact of seasonal forcing on a SARS-CoV-2 pandemic

    1. Richard A. Neher
    2. Robert Dyrdak
    3. Valentin Druelle
    4. Emma B. Hodcroft
    5. Jan Albert

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Clinical Characteristics of 2019 Novel Infected Coronavirus Pneumonia: A Systemic Review and Meta-analysis

    1. Kai Qian
    2. Yi Deng
    3. Yong-Hang Tai
    4. Jun Peng
    5. Hao Peng
    6. Li-Hong Jiang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Assessing the Impact of Reduced Travel on Exportation Dynamics of Novel Coronavirus Infection (COVID-19)

    1. Asami Anzai
    2. Tetsuro Kobayashi
    3. Natalie M. Linton
    4. Ryo Kinoshita
    5. Katsuma Hayashi
    6. Ayako Suzuki
    7. Yichi Yang
    8. Sung-mok Jung
    9. Takeshi Miyama
    10. Andrei R. Akhmetzhanov
    11. Hiroshi Nishiura

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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