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. Identification of 2019-nCoV related coronaviruses in Malayan pangolins in southern China

    1. Tommy Tsan-Yuk Lam
    2. Marcus Ho-Hin Shum
    3. Hua-Chen Zhu
    4. Yi-Gang Tong
    5. Xue-Bing Ni
    6. Yun-Shi Liao
    7. Wei Wei
    8. William Yiu-Man Cheung
    9. Wen-Juan Li
    10. Lian-Feng Li
    11. Gabriel M Leung
    12. Edward C. Holmes
    13. Yan-Ling Hu
    14. Yi Guan

    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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