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. The rocaglate CR-31-B (−) inhibits SARS-CoV-2 replication at non-cytotoxic, low nanomolar concentrations in vitro and ex vivo

    1. Christin Müller
    2. Wiebke Obermann
    3. Nadja Karl
    4. Hans-Guido Wendel
    5. Gaspar Taroncher-Oldenburg
    6. Stephan Pleschka
    7. Roland K. Hartmann
    8. Arnold Grünweller
    9. John Ziebuhr

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Microwave-Generated Steam Decontamination of N95 Respirators Utilizing Universally Accessible Materials

    1. Katelyn E. Zulauf
    2. Alex B. Green
    3. Alex N. Nguyen Ba
    4. Tanush Jagdish
    5. Dvir Reif
    6. Robert Seeley
    7. Alana Dale
    8. James E. Kirby

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A single holiday was the turning point of the COVID-19 policy of Israel

    1. Ziv Klausner
    2. Eyal Fattal
    3. Eitan Hirsch
    4. Shmuel C. Shapira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. A large-scale clinical validation study using nCapp cloud plus terminal by frontline doctors for the rapid diagnosis of COVID-19 and COVID-19 pneumonia in China

    1. Dawei Yang
    2. Tao Xu
    3. Xun Wang
    4. Deng Chen
    5. Ziqiang Zhang
    6. Lichuan Zhang
    7. Jie Liu
    8. Kui Xiao
    9. Li Bai
    10. Yong Zhang
    11. Lin Zhao
    12. Lin Tong
    13. Chaomin Wu
    14. Yaoli Wang
    15. Chunling Dong
    16. Maosong Ye
    17. Yu Xu
    18. Zhenju Song
    19. Hong Chen
    20. Jing Li
    21. Jiwei Wang
    22. Fei Tan
    23. Hai Yu
    24. Jian Zhou
    25. Chunhua Du
    26. Hongqing Zhao
    27. Yu Shang
    28. Linian Huang
    29. Jianping Zhao
    30. Yang Jin
    31. Charles A. Powell
    32. Jinming Yu
    33. Yuanlin Song
    34. Chunxue Bai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The association of opening K–12 schools with the spread of COVID-19 in the United States: County-level panel data analysis

    1. Victor Chernozhukov
    2. Hiroyuki Kasahara
    3. Paul Schrimpf

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The effective reproductive number (Rt) of COVID-19 and its relationship with social distancing

    1. José Alexandre Felizola Diniz-Filho
    2. Lucas Jardim
    3. Cristiana M. Toscano
    4. Thiago Fernando Rangel

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  7. Magnetic bead-based ELISA allow inexpensive, rapid and quantitative detection of human antibodies against SARS-CoV-2

    1. Luciano Fernandes Huergo
    2. Marcelo Santos Conzentino
    3. Edileusa Cristina Marques Gerhardt
    4. Adrian Richard Schenberger Santos
    5. Fabio Oliveira Pedrosa
    6. Emanuel Maltempi Souza
    7. Meri Bordignon Nogueira
    8. Karl Forchhammer
    9. Fabiane Gomes Moraes Rego
    10. Sônia Mara Raboni
    11. Rodrigo Arantes Reis

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. 2′-O methylation of RNA cap in SARS-CoV-2 captured by serial crystallography

    1. Mateusz Wilamowski
    2. Darren A. Sherrell
    3. George Minasov
    4. Youngchang Kim
    5. Ludmilla Shuvalova
    6. Alex Lavens
    7. Ryan Chard
    8. Natalia Maltseva
    9. Robert Jedrzejczak
    10. Monica Rosas-Lemus
    11. Nickolaus Saint
    12. Ian T. Foster
    13. Karolina Michalska
    14. Karla J. F. Satchell
    15. Andrzej Joachimiak

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. False Positive Results in SARS-CoV-2 Serological Tests for Samples From Patients With Chronic Inflammatory Diseases

    1. Nastya Kharlamova
    2. Nicky Dunn
    3. Sahl K. Bedri
    4. Svante Jerling
    5. Malin Almgren
    6. Francesca Faustini
    7. Iva Gunnarsson
    8. Johan Rönnelid
    9. Rille Pullerits
    10. Inger Gjertsson
    11. Karin Lundberg
    12. Anna Månberg
    13. Elisa Pin
    14. Peter Nilsson
    15. Sophia Hober
    16. Katharina Fink
    17. Anna Fogdell-Hahn

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    6 evaluationsAppears in 2 listsLatest version Latest activity

  10. Spectrum of spinal cord involvement in COVID-19: A systematic review

    1. Ritwick Mondal
    2. Shramana Deb
    3. Gourav Shome
    4. Upasana Ganguly
    5. Durjoy Lahiri
    6. Julian Benito Leon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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