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. Genes associated with liver damage signalling pathways may impact the severity of COVID-19 symptoms in Spanish and Italian populations

    1. Leire Moya
    2. Samaneh Farashi
    3. Prashanth N Suravajhala
    4. Panchadsaram Janaththani
    5. Jyotsna Batra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. SARS-CoV-2 infection induces germinal center responses with robust stimulation of CD4 T follicular helper cells in rhesus macaques

    1. Sonny R. Elizaldi
    2. Yashavanth Shaan Lakshmanappa
    3. Jamin W. Roh
    4. Brian A. Schmidt
    5. Timothy D. Carroll
    6. Kourtney D. Weaver
    7. Justin C. Smith
    8. Jesse D. Deere
    9. Joseph Dutra
    10. Mars Stone
    11. Rebecca Lee Sammak
    12. Katherine J. Olstad
    13. J. Rachel Reader
    14. Zhong-Min Ma
    15. Nancy K. Nguyen
    16. Jennifer Watanabe
    17. Jodie Usachaenko
    18. Ramya Immareddy
    19. JoAnn L. Yee
    20. Daniela Weiskopf
    21. Alessandro Sette
    22. Dennis Hartigan-O’Connor
    23. Stephen J. McSorley
    24. John H. Morrison
    25. Nam K. Tran
    26. Graham Simmons
    27. Michael P Busch
    28. Pamela A. Kozlowski
    29. Koen K.A. Van Rompay
    30. Christopher J. Miller
    31. Smita S. Iyer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Structural Basis for Helicase-Polymerase Coupling in the SARS-CoV-2 Replication-Transcription Complex

    1. James Chen
    2. Brandon Malone
    3. Eliza Llewellyn
    4. Michael Grasso
    5. Patrick M.M. Shelton
    6. Paul Dominic B. Olinares
    7. Kashyap Maruthi
    8. Edward T. Eng
    9. Hasan Vatandaslar
    10. Brian T. Chait
    11. Tarun M. Kapoor
    12. Seth A. Darst
    13. Elizabeth A. Campbell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Clinical Characteristics and Outcomes of Patients With Diabetes Admitted for COVID-19 Treatment in Dubai: Single-Centre Cross-Sectional Study

    1. Rahila Bhatti
    2. Amar Hassan Khamis
    3. Samara Khatib
    4. Seemin Shiraz
    5. Glenn Matfin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Natural killer cell immunotypes related to COVID-19 disease severity

    1. Christopher Maucourant
    2. Iva Filipovic
    3. Andrea Ponzetta
    4. Soo Aleman
    5. Martin Cornillet
    6. Laura Hertwig
    7. Benedikt Strunz
    8. Antonio Lentini
    9. Björn Reinius
    10. Demi Brownlie
    11. Angelica Cuapio
    12. Eivind Heggernes Ask
    13. Ryan M. Hull
    14. Alvaro Haroun-Izquierdo
    15. Marie Schaffer
    16. Jonas Klingström
    17. Elin Folkesson
    18. Marcus Buggert
    19. Johan K. Sandberg
    20. Lars I. Eriksson
    21. Olav Rooyackers
    22. Hans-Gustaf Ljunggren
    23. Karl-Johan Malmberg
    24. Jakob Michaëlsson
    25. Nicole Marquardt
    26. Quirin Hammer
    27. Kristoffer Strålin
    28. Niklas K. Björkström
    29. The Karolinska COVID-19 Study Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries

    1. Yingxue Li
    2. Wenxiao Jia
    3. Junmei Wang
    4. Jianying Guo
    5. Qin Liu
    6. Xiang Li
    7. Guotong Xie
    8. Fei Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clinical Features of Hemodialysis (HD) patients confirmed with Coronavirus Disease 2019 (COVID-19): a Retrospective Case-Control Study

    1. Huan Zhou
    2. Xiaofen Xiao
    3. Xiaohui Wang
    4. Xianhua Tan
    5. Xin Zhang
    6. Yong He
    7. Jing Li
    8. Guosheng Yang
    9. Mingmei Li
    10. Duan Liu
    11. Shanshan Han
    12. Haibo Kuang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Adolescents’ health literacy, health protective measures, and health-related quality of life during the Covid-19 pandemic

    1. Kirsti Riiser
    2. Sølvi Helseth
    3. Kristin Haraldstad
    4. Astrid Torbjørnsen
    5. Kåre Rønn Richardsen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

    1. Brandon C Cummings
    2. Sardar Ansari
    3. Jonathan R Motyka
    4. Guan Wang
    5. Richard P Medlin Jr
    6. Steven L Kronick
    7. Karandeep Singh
    8. Pauline K Park
    9. Lena M Napolitano
    10. Robert P Dickson
    11. Michael R Mathis
    12. Michael W Sjoding
    13. Andrew J Admon
    14. Ross Blank
    15. Jakob I McSparron
    16. Kevin R Ward
    17. Christopher E Gillies

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A holistic comparison between deep learning techniques to determine Covid-19 patients utilizing chest X-Ray images

    1. Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Dhaka-1208, Bangladesh
    2. Taki Hasan Rafi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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