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. Structural characterization of nonstructural protein 1 from SARS-CoV-2

    1. Cameron Semper
    2. Nobuhiko Watanabe
    3. Alexei Savchenko

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Screening a Library of FDA-Approved and Bioactive Compounds for Antiviral Activity against SARS-CoV-2

    1. Scott B. Biering
    2. Erik Van Dis
    3. Eddie Wehri
    4. Livia H. Yamashiro
    5. Xammy Nguyenla
    6. Claire Dugast-Darzacq
    7. Thomas G. W. Graham
    8. Julien R. Stroumza
    9. Guillaume R. Golovkine
    10. Allison W. Roberts
    11. Daniel M. Fines
    12. Jessica N. Spradlin
    13. Carl C. Ward
    14. Teena Bajaj
    15. Dustin Dovala
    16. Ursula Schulze-Gamen
    17. Ruchika Bajaj
    18. Douglas M. Fox
    19. Melanie Ott
    20. Niren Murthy
    21. Daniel K. Nomura
    22. Julia Schaletzky
    23. Sarah A. Stanley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Updated SARS‐CoV‐2 single nucleotide variants and mortality association

    1. Shuyi Fang
    2. Sheng Liu
    3. Jikui Shen
    4. Alex Z Lu
    5. Audrey K. Y. Wang
    6. Yucheng Zhang
    7. Kailing Li
    8. Juli Liu
    9. Lei Yang
    10. Chang‐Deng Hu
    11. Jun Wan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Broad Severe Acute Respiratory Syndrome Coronavirus 2 Cell Tropism and Immunopathology in Lung Tissues From Fatal Coronavirus Disease 2019

    1. Suzane Ramos da Silva
    2. Enguo Ju
    3. Wen Meng
    4. Alberto E Paniz Mondolfi
    5. Sanja Dacic
    6. Anthony Green
    7. Clare Bryce
    8. Zachary Grimes
    9. Mary Fowkes
    10. Emilia M Sordillo
    11. Carlos Cordon-Cardo
    12. Haitao Guo
    13. Shou-Jiang Gao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Laboratory biomarkers of COVID-19 disease severity and outcome: Findings from a developing country

    1. Tigist W. Leulseged
    2. Ishmael S. Hassen
    3. Birhanu T. Ayele
    4. Yakob G. Tsegay
    5. Daniel S. Abebe
    6. Mesay G. Edo
    7. Endalkachew H. Maru
    8. Wuletaw C. Zewde
    9. Lydia K. Naylor
    10. Dejene F. Semane
    11. Menayit T. Dresse
    12. Bereket B. Tezera

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Role of Heterogeneous Transmission in the Decline of COVID-19 Cases During Winter of 2020/2021 in Massachusetts

    1. Yeon-Woo Choi
    2. Marcia C. Castro
    3. Elfatih A. B. Eltahir

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. “Safety and efficacy of pharmacotherapy used for the management of COVID 19: A systematic review and meta-analysis of randomized control trials”

    1. Sujit Kumar Sah
    2. Krishna Undela
    3. Sharad Chand
    4. Madhan Ramesh
    5. R Subramanian
    6. Oliver Joel Gona
    7. Sophia M. George
    8. UP Nandakumar
    9. Santosh Aryal
    10. P Niharika
    11. C.S. Shastry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Co-Expression of Mitochondrial Genes and ACE2 in Cornea Involved in COVID-19

    1. Jian Yuan
    2. Dandan Fan
    3. Zhengbo Xue
    4. Jia Qu
    5. Jianzhong Su

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Forecast analysis of the epidemics trend of COVID-19 in the USA by a generalized fractional-order SEIR model

    1. Conghui Xu
    2. Yongguang Yu
    3. YangQuan Chen
    4. Zhenzhen Lu

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Switching from algorithm-based to universal admission screening for COVID-19 in hospital settings

    1. Tjibbe Donker
    2. Hajo Grundmann
    3. Fabian Bürkin
    4. Hartmut Hengel
    5. Hartmut Bürkle
    6. Thorsten Hammer
    7. Frederik Wenz
    8. Winfried Kern

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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