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. MORTALITY AND COVID-19: A SNAPSHOT OF A TERTIARY CARE FACILITY IN PAKISTAN

    1. MA Rana
    2. A Qayyum
    3. M Hashmi
    4. MMU Saif
    5. MF Munir
    6. R Pervaiz
    7. S Iqbal
    8. MM Hafeez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Non-occupational and occupational factors associated with specific SARS-CoV-2 antibodies among hospital workers – A multicentre cross-sectional study

    1. Christian R. Kahlert
    2. Raphael Persi
    3. Sabine Güsewell
    4. Thomas Egger
    5. Onicio B. Leal-Neto
    6. Johannes Sumer
    7. Domenica Flury
    8. Angela Brucher
    9. Eva Lemmenmeier
    10. J. Carsten Möller
    11. Philip Rieder
    12. Reto Stocker
    13. Danielle Vuichard-Gysin
    14. Benedikt Wiggli
    15. Werner C. Albrich
    16. Baharak Babouee Flury
    17. Ulrike Besold
    18. Jan Fehr
    19. Stefan P. Kuster
    20. Allison McGeer
    21. Lorenz Risch
    22. Matthias Schlegel
    23. Andrée Friedl
    24. Pietro Vernazza
    25. Philipp Kohler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. GM-CSF Neutralization With Lenzilumab in Severe COVID-19 Pneumonia

    1. Zelalem Temesgen
    2. Mariam Assi
    3. F.N.U. Shweta
    4. Paschalis Vergidis
    5. Stacey A. Rizza
    6. Philippe R. Bauer
    7. Brian W. Pickering
    8. Raymund R. Razonable
    9. Claudia R. Libertin
    10. Charles D. Burger
    11. Robert Orenstein
    12. Hugo E. Vargas
    13. Raj Palraj
    14. Ala S. Dababneh
    15. Gabrielle Chappell
    16. Dale Chappell
    17. Omar Ahmed
    18. Reona Sakemura
    19. Cameron Durrant
    20. Saad S. Kenderian
    21. Andrew D. Badley

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Mathematical Model Based COVID-19 Prediction in India and its Different States

    1. Jaspreet Singh
    2. P K Ahluwalia
    3. Ashok Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Autosomal Dominant Polycystic Kidney Disease Does Not Significantly Alter Major COVID-19 Outcomes among Veterans

    1. Xiangqin Cui
    2. Julia W. Gallini
    3. Christine L. Jasien
    4. Michal Mrug

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A Therapeutic Non-self-reactive SARS-CoV-2 Antibody Protects from Lung Pathology in a COVID-19 Hamster Model

    1. Jakob Kreye
    2. S. Momsen Reincke
    3. Hans-Christian Kornau
    4. Elisa Sánchez-Sendin
    5. Victor Max Corman
    6. Hejun Liu
    7. Meng Yuan
    8. Nicholas C. Wu
    9. Xueyong Zhu
    10. Chang-Chun D. Lee
    11. Jakob Trimpert
    12. Markus Höltje
    13. Kristina Dietert
    14. Laura Stöffler
    15. Niels von Wardenburg
    16. Scott van Hoof
    17. Marie A. Homeyer
    18. Julius Hoffmann
    19. Azza Abdelgawad
    20. Achim D. Gruber
    21. Luca D. Bertzbach
    22. Daria Vladimirova
    23. Lucie Y. Li
    24. Paula Charlotte Barthel
    25. Karl Skriner
    26. Andreas C. Hocke
    27. Stefan Hippenstiel
    28. Martin Witzenrath
    29. Norbert Suttorp
    30. Florian Kurth
    31. Christiana Franke
    32. Matthias Endres
    33. Dietmar Schmitz
    34. Lara Maria Jeworowski
    35. Anja Richter
    36. Marie Luisa Schmidt
    37. Tatjana Schwarz
    38. Marcel Alexander Müller
    39. Christian Drosten
    40. Daniel Wendisch
    41. Leif E. Sander
    42. Nikolaus Osterrieder
    43. Ian A. Wilson
    44. Harald Prüss

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Accurate SARS-CoV-2 seroprevalence surveys require robust multi-antigen assays

    1. Christos Fotis
    2. Nikolaos Meimetis
    3. Nikos Tsolakos
    4. Marianna Politou
    5. Karolina Akinosoglou
    6. Vaia Pliaka
    7. Angeliki Minia
    8. Evangelos Terpos
    9. Ioannis P. Trougakos
    10. Andreas Mentis
    11. Markos Marangos
    12. George Panayiotakopoulos
    13. Meletios A. Dimopoulos
    14. Charalampos Gogos
    15. Alexandros Spyridonidis
    16. Leonidas G. Alexopoulos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Staff testing for COVID-19 via an online pre-registration form

    1. Muhammad S. Moolla
    2. Arifa Parker
    3. Mohammed A. Parker
    4. Sthembiso Sithole
    5. Leila Amien
    6. Rubeena Chiecktey
    7. Tasneem Bawa
    8. Abdurasiet Mowlana

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Probable airborne transmission of SARS-CoV-2 in a poorly ventilated restaurant

    1. Yuguo Li
    2. Hua Qian
    3. Jian Hang
    4. Xuguang Chen
    5. Pan Cheng
    6. Hong Ling
    7. Shengqi Wang
    8. Peng Liang
    9. Jiansen Li
    10. Shenglan Xiao
    11. Jianjian Wei
    12. Li Liu
    13. Benjamin J. Cowling
    14. Min Kang

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Acute kidney injury is associated with severe and fatal outcomes in patients with Coronavirus disease 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies

    1. Mohammad Parohan
    2. Sajad Yaghoubi
    3. Mahmoud Djalali
    4. Asal Seraji
    5. Mohammad Hassan Javanbakht
    6. Zahra Mousavi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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