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. SARS-CoV-2 protein Nsp1 alters actomyosin cytoskeleton and phenocopies arrhythmogenic cardiomyopathy-related PKP2 mutant

    1. Cristina Márquez-López
    2. Marta Roche-Molina
    3. Nieves García-Quintáns
    4. Silvia Sacristán
    5. David Siniscalco
    6. Andrés González-Guerra
    7. Emilio Camafeita
    8. Mariya Lytvyn
    9. María I. Guillen
    10. David Sanz-Rosa
    11. Daniel Martín-Pérez
    12. Cristina Sánchez-Ramos
    13. Ricardo García
    14. Juan A. Bernal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Cytokine ranking via mutual information algorithm correlates cytokine profiles with presenting disease severity in patients infected with SARS-CoV-2

    1. Kelsey E Huntington
    2. Anna D Louie
    3. Chun Geun Lee
    4. Jack A Elias
    5. Eric A Ross
    6. Wafik S El-Deiry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. SARS‐CoV‐2 innate effector associations and viral load in early nasopharyngeal infection

    1. Theodore G. Liou
    2. Frederick R. Adler
    3. Barbara C. Cahill
    4. David R. Cox
    5. James E. Cox
    6. Garett J. Grant
    7. Kimberly E. Hanson
    8. Stephen C. Hartsell
    9. Nathan D. Hatton
    10. My N. Helms
    11. Judy L. Jensen
    12. Christiana Kartsonaki
    13. Yanping Li
    14. Daniel T. Leung
    15. James E. Marvin
    16. Elizabeth A. Middleton
    17. Sandra M. Osburn‐Staker
    18. Kristyn A. Packer
    19. Salika M. Shakir
    20. Anne B. Sturrock
    21. Keith D. Tardif
    22. Kristi J. Warren
    23. Lindsey J. Waddoups
    24. Lisa J. Weaver
    25. Elizabeth Zimmerman
    26. Robert Paine

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Adherence and Association of Digital Proximity Tracing App Notifications With Earlier Time to Quarantine: Results From the Zurich SARS-CoV-2 Cohort Study

    1. Tala Ballouz
    2. Dominik Menges
    3. Hélène E. Aschmann
    4. Anja Domenghino
    5. Jan S. Fehr
    6. Milo A. Puhan
    7. Viktor von Wyl

    Reviewed by NCRC, ScreenIT

    2 evaluationsAppears in 2 listsLatest version Latest activity

  5. A genetic variant protective against severe COVID-19 is inherited from Neandertals

    1. Hugo Zeberg
    2. Svante Pääbo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Swedish nationwide time series analysis of influenza and suicide deaths from 1910 to 1978

    1. Christian Rück
    2. David Mataix-Cols
    3. Kinda Malki
    4. Mats Adler
    5. Oskar Flygare
    6. Bo Runeson
    7. Anna Sidorchuk

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. A human disease model of SARS-CoV-2-induced lung injury and immune responses with a microengineered organ chip

    1. Min Zhang
    2. Peng Wang
    3. Ronghua Luo
    4. Yaqing Wang
    5. Zhongyu Li
    6. Yaqiong Guo
    7. Yulin Yao
    8. Minghua Li
    9. Tingting Tao
    10. Wenwen Chen
    11. Jianbao Han
    12. Haitao Liu
    13. Kangli Cui
    14. Xu zhang
    15. Yongtang Zheng
    16. Jianhua Qin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Determination of daily reproduction numbers of SARS-CoV2 based on death cases suggests more rapid initial spread in Italy and the United States

    1. Armin Ensser
    2. Klaus Überla

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Protection of health care workers from exhaled air of patients operated under local, regional, spinal or epidural anaesthesia during COVID 19 pandemic

    1. Kuldeepsinh Pradipkumar Atodaria
    2. Mayank Singh
    3. Vimalkumar Prajapati
    4. Kush Shaileshkumar Shah
    5. Pradipkumar Raghuvirsinh Atodaria

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions

    1. Manon Ragonnet-Cronin
    2. Olivia Boyd
    3. Lily Geidelberg
    4. David Jorgensen
    5. Fabricia F. Nascimento
    6. Igor Siveroni
    7. Robert A. Johnson
    8. Marc Baguelin
    9. Zulma M. Cucunubá
    10. Elita Jauneikaite
    11. Swapnil Mishra
    12. Oliver J. Watson
    13. Neil Ferguson
    14. Anne Cori
    15. Christl A. Donnelly
    16. Erik Volz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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