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. Early evidence and predictors of mental distress of adults one month in the COVID-19 epidemic in Brazil

    1. Stephen Xu Zhang
    2. Yifei Wang
    3. Asghar Afshar Jahanshahi
    4. Jizhen Li
    5. Valentina Gomes Haensel Schmitt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. A single-cell atlas of the peripheral immune response in patients with severe COVID-19

    1. Aaron J. Wilk
    2. Arjun Rustagi
    3. Nancy Q. Zhao
    4. Jonasel Roque
    5. Giovanny J. Martínez-Colón
    6. Julia L. McKechnie
    7. Geoffrey T. Ivison
    8. Thanmayi Ranganath
    9. Rosemary Vergara
    10. Taylor Hollis
    11. Laura J. Simpson
    12. Philip Grant
    13. Aruna Subramanian
    14. Angela J. Rogers
    15. Catherine A. Blish

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Trends of SARS-Cov-2 infection in 67 countries: Role of climate zone, temperature, humidity and curve behavior of cumulative frequency on duplication time

    1. Jaime Berumen
    2. Max Schmulson
    3. Guadalupe Guerrero
    4. Elizabeth Barrera
    5. Jorge Larriva-Sahd
    6. Gustavo Olaiz
    7. Rebeca Garcia-Leyva
    8. Rosa María Wong Chew
    9. Miguel Betancourt-Cravioto
    10. Héctor Gallardo
    11. Germán Fajardo-Dolci
    12. Roberto Tapia-Conyer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Population genomics insights into the recent evolution of SARS-CoV-2

    1. Maria Vasilarou
    2. Nikolaos Alachiotis
    3. Joanna Garefalaki
    4. Apostolos Beloukas
    5. Pavlos Pavlidis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Is there evidence that BCG vaccination has non-specific protective effects for COVID 19 infections or is it an illusion created by lack of testing?

    1. Shivendu Shivendu
    2. Saurav Chakraborty
    3. Agnieszka Onuchowska
    4. Ankit Patidar
    5. Arpit Srivastava

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. An empirical estimate of the infection fatality rate of COVID-19 from the first Italian outbreak

    1. Gianluca Rinaldi
    2. Matteo Paradisi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clinical Characteristics of 20,662 Patients with COVID-19 in mainland China: A Systemic Review and Meta-analysis

    1. Chong Tang
    2. Keshi Zhang
    3. Wenlong Wang
    4. Zheng Pei
    5. Zheng Liu
    6. Ping Yuan
    7. Zhenpeng Guan
    8. Jin Gu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Heterogeneous expression of the SARS-Coronavirus-2 receptor ACE2 in the human respiratory tract

    1. Miguel E. Ortiz Bezara
    2. Andrew Thurman
    3. Alejandro A. Pezzulo
    4. Mariah R. Leidinger
    5. Julia A. Klesney-Tait
    6. Philip H. Karp
    7. Ping Tan
    8. Christine Wohlford-Lenane
    9. Paul B. McCray
    10. David K. Meyerholz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. SwabExpress: An end-to-end protocol for extraction-free COVID-19 testing

    1. Sanjay Srivatsan
    2. Sarah Heidl
    3. Brian Pfau
    4. Beth K. Martin
    5. Peter D. Han
    6. Weizhi Zhong
    7. Katrina van Raay
    8. Evan McDermot
    9. Jordan Opsahl
    10. Luis Gamboa
    11. Nahum Smith
    12. Melissa Truong
    13. Shari Cho
    14. Kaitlyn A. Barrow
    15. Lucille M. Rich
    16. Jeremy Stone
    17. Caitlin R. Wolf
    18. Denise J. McCulloch
    19. Ashley E. Kim
    20. Elisabeth Brandstetter
    21. Sarah L. Sohlberg
    22. Misja Ilcisin
    23. Rachel E. Geyer
    24. Wei Chen
    25. Jase Gehring
    26. Seattle Flu Study Investigators
    27. Sriram Kosuri
    28. Trevor Bedford
    29. Mark J. Rieder
    30. Deborah A. Nickerson
    31. Helen Y. Chu
    32. Eric Q. Konnick
    33. Jason S. Debley
    34. Jay Shendure
    35. Christina M. Lockwood
    36. Lea M. Starita

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2

    1. Katie Heiser
    2. Peter F. McLean
    3. Chadwick T. Davis
    4. Ben Fogelson
    5. Hannah B. Gordon
    6. Pamela Jacobson
    7. Brett Hurst
    8. Ben Miller
    9. Ronald W. Alfa
    10. Berton A. Earnshaw
    11. Mason L. Victors
    12. Yolanda T. Chong
    13. Imran S. Haque
    14. Adeline S. Low
    15. Christopher C. Gibson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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