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. Machine learning-based CT radiomics method for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: a multicenter study

    1. Hongmei Yue
    2. Qian Yu
    3. Chuan Liu
    4. Yifei Huang
    5. Zicheng Jiang
    6. Chuxiao Shao
    7. Hongguang Zhang
    8. Baoyi Ma
    9. Yuancheng Wang
    10. Guanghang Xie
    11. Haijun Zhang
    12. Xiaoguo Li
    13. Ning Kang
    14. Xiangpan Meng
    15. Shan Huang
    16. Dan Xu
    17. Junqiang Lei
    18. Huihong Huang
    19. Jie Yang
    20. Jiansong Ji
    21. Hongqiu Pan
    22. Shengqiang Zou
    23. Shenghong Ju
    24. Xiaolong Qi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019

    1. Juanjuan Zhao
    2. Quan Yuan
    3. Haiyan Wang
    4. Wei Liu
    5. Xuejiao Liao
    6. Yingying Su
    7. Xin Wang
    8. Jing Yuan
    9. Tingdong Li
    10. Jinxiu Li
    11. Shen Qian
    12. Congming Hong
    13. Fuxiang Wang
    14. Yingxia Liu
    15. Zhaoqin Wang
    16. Qing He
    17. Zhiyong Li
    18. Bin He
    19. Tianying Zhang
    20. Yang Fu
    21. Shengxiang Ge
    22. Lei Liu
    23. Jun Zhang
    24. Ningshao Xia
    25. Zheng Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Epidemiological and clinical features of COVID-19 patients with and without pneumonia in Beijing, China

    1. Penghui Yang
    2. Yibo Ding
    3. Zhe Xu
    4. Rui Pu
    5. Ping Li
    6. Jin Yan
    7. Jiluo Liu
    8. Fanping Meng
    9. Lei Huang
    10. Lei Shi
    11. Tianjun Jiang
    12. Enqiang Qin
    13. Min Zhao
    14. Dawei Zhang
    15. Peng Zhao
    16. Lingxiang Yu
    17. Zhaohai Wang
    18. Zhixian Hong
    19. Zhaohui Xiao
    20. Qing Xi
    21. Dexi Zhao
    22. Peng Yu
    23. Caizhong Zhu
    24. Zhu Chen
    25. Shaogeng Zhang
    26. Junsheng Ji
    27. Guangwen Cao
    28. Fusheng Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Effects of weather-related social distancing on city-scale transmission of respiratory viruses: a retrospective cohort study

    1. on behalf of the Seattle Flu Study Investigators
    2. Michael L. Jackson
    3. Gregory R. Hart
    4. Denise J. McCulloch
    5. Amanda Adler
    6. Elisabeth Brandstetter
    7. Kairsten Fay
    8. Peter Han
    9. Kirsten Lacombe
    10. Jover Lee
    11. Thomas R. Sibley
    12. Deborah A. Nickerson
    13. Mark J. Rieder
    14. Lea Starita
    15. Janet A. Englund
    16. Trevor Bedford
    17. Helen Chu
    18. Michael Famulare

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Precautions are Needed for COVID-19 Patients with Coinfection of Common Respiratory Pathogens

    1. Quan-sheng Xing
    2. Guo-ju Li
    3. Yu-han Xing
    4. Ting Chen
    5. Wen-jie Li
    6. Wei Ni
    7. Kai Deng
    8. Ru-qin Gao
    9. Chang-zheng Chen
    10. Yang Gao
    11. Qiang Li
    12. Gui-ling Yu
    13. Jian-ning Tong
    14. Wei Li
    15. Gui-liang Hao
    16. Yue Sun
    17. Ai Zhang
    18. Qin Wu
    19. Zi-pu Li
    20. Si-lin Pan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Vicarious traumatization in the general public, members, and non-members of medical teams aiding in COVID-19 control

    1. Zhenyu Li
    2. Jingwu Ge
    3. Meiling Yang
    4. Jianping Feng
    5. Mei Qiao
    6. Riyue Jiang
    7. Jiangjiang Bi
    8. Gaofeng Zhan
    9. Xiaolin Xu
    10. Long Wang
    11. Qin Zhou
    12. Chenliang Zhou
    13. Yinbing Pan
    14. Shijiang Liu
    15. Haiwei Zhang
    16. Jianjun Yang
    17. Bin Zhu
    18. Yimin Hu
    19. Kenji Hashimoto
    20. Yan Jia
    21. Haofei Wang
    22. Rong Wang
    23. Cunming Liu
    24. Chun Yang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Strategies for vaccine design for corona virus using Immunoinformatics techniques

    1. Anamika Basu
    2. Anasua Sarkar
    3. Ujjwal Maulik

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Predictions for the binding domain and potential new drug targets of 2019-nCoV

    1. Zehua Zeng
    2. Zhi Luo
    3. Hongwu Du

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The 2019 coronavirus (SARS-CoV-2) surface protein (Spike) S1 Receptor Binding Domain undergoes conformational change upon heparin binding

    1. Courtney Mycroft-West
    2. Dunhao Su
    3. Stefano Elli
    4. Yong Li
    5. Scott Guimond
    6. Gavin Miller
    7. Jeremy Turnbull
    8. Edwin Yates
    9. Marco Guerrini
    10. David Fernig
    11. Marcelo Lima
    12. Mark Skidmore

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. An ultrasensitive, rapid, and portable coronavirus SARS-CoV-2 sequence detection method based on CRISPR-Cas12

    1. Curti Lucia
    2. Pereyra-Bonnet Federico
    3. Gimenez Carla Alejandra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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