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. Modelling COVID-19 outbreak on the Diamond Princess ship using the public surveillance data

    1. Shi Zhao
    2. Peihua Cao
    3. Daozhou Gao
    4. Zian Zhuang
    5. Weiming Wang
    6. Jinjun Ran
    7. Kai Wang
    8. Lin Yang
    9. Mohammad R. Einollahi
    10. Yijun Lou
    11. Daihai He
    12. Maggie H. Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Assessment of Hypokalemia and Clinical Characteristics in Patients With Coronavirus Disease 2019 in Wenzhou, China

    1. Dong Chen
    2. Xiaokun Li
    3. Qifa Song
    4. Chenchan Hu
    5. Feifei Su
    6. Jianyi Dai
    7. Yinghai Ye
    8. Jianping Huang
    9. Xiaoming Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Rapid Molecular Detection of SARS-CoV-2 (COVID-19) Virus RNA Using Colorimetric LAMP

    1. Yinhua Zhang
    2. Nelson Odiwuor
    3. Jin Xiong
    4. Luo Sun
    5. Raphael Ohuru Nyaruaba
    6. Hongping Wei
    7. Nathan A. Tanner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The effects of “Fangcang, Huoshenshan, and Leishenshan” hospitals and environmental factors on the mortality of COVID-19

    1. Yuwen Cai
    2. Tianlun Huang
    3. Xin Liu
    4. Gaosi Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Prediction of the receptorome for the human-infecting virome

    1. Zheng Zhang
    2. Sifan Ye
    3. Aiping Wu
    4. Taijiao Jiang
    5. Yousong Peng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Spike protein binding prediction with neutralizing antibodies of SARS-CoV-2

    1. Tamina Park
    2. Sang-Yeop Lee
    3. Seil Kim
    4. Mi Jeong Kim
    5. Hong Gi Kim
    6. Sangmi Jun
    7. Seung Il Kim
    8. Bum Tae Kim
    9. Edmond Changkyun Park
    10. Daeui Park

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clinical characteristics of 82 cases of death from COVID-19

    1. Bicheng Zhang
    2. Xiaoyang Zhou
    3. Yanru Qiu
    4. Yuxiao Song
    5. Fan Feng
    6. Jia Feng
    7. Qibin Song
    8. Qingzhu Jia
    9. Jun Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Clinical features and sexual transmission potential of SARS-CoV-2 infected female patients: a descriptive study in Wuhan, China

    1. Pengfei Cui
    2. Zhe Chen
    3. Tian Wang
    4. Jun Dai
    5. Jinjin Zhang
    6. Ting Ding
    7. Jingjing Jiang
    8. Jia Liu
    9. Cong Zhang
    10. Wanying Shan
    11. Sheng Wang
    12. Yueguang Rong
    13. Jiang Chang
    14. Xiaoping Miao
    15. Xiangyi Ma
    16. Shixuan Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Perceptions of the adult US population regarding the novel coronavirus outbreak

    1. SarahAnn M. McFadden
    2. Amyn A. Malik
    3. Obianuju G. Aguolu
    4. Kathryn S. Willebrand
    5. Saad B. Omer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A simple magnetic nanoparticles-based viral RNA extraction method for efficient detection of SARS-CoV-2

    1. Zhen Zhao
    2. Haodong Cui
    3. Wenxing Song
    4. Xiaoling Ru
    5. Wenhua Zhou
    6. Xuefeng Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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