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. Distinctive features of SARS-CoV-2-specific T cells predict recovery from severe COVID-19

    1. Jason Neidleman
    2. Xiaoyu Luo
    3. Ashley F. George
    4. Matthew McGregor
    5. Junkai Yang
    6. Cassandra Yun
    7. Victoria Murray
    8. Gurjot Gill
    9. Warner C. Greene
    10. Joshua Vasquez
    11. Sulggi A. Lee
    12. Eliver Ghosn
    13. Kara L. Lynch
    14. Nadia R. Roan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Contact Settings and Risk for Transmission in 3410 Close Contacts of Patients With COVID-19 in Guangzhou, China

    1. Lei Luo
    2. Dan Liu
    3. Xinlong Liao
    4. Xianbo Wu
    5. Qinlong Jing
    6. Jiazhen Zheng
    7. Fanghua Liu
    8. Shigui Yang
    9. Hua Bi
    10. Zhihao Li
    11. Jianping Liu
    12. Weiqi Song
    13. Wei Zhu
    14. Zhenghe Wang
    15. Xiru Zhang
    16. Qingmei Huang
    17. Peiliang Chen
    18. Huamin Liu
    19. Xin Cheng
    20. Miaochun Cai
    21. Pei Yang
    22. Xingfen Yang
    23. Zhigang Han
    24. Jinling Tang
    25. Yu Ma
    26. Chen Mao

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Māori and Pacific People in New Zealand have higher risk of hospitalisation for COVID-19

    1. Nicholas Steyn
    2. Rachelle N. Binny
    3. Kate Hannah
    4. Shaun C. Hendy
    5. Alex James
    6. Audrey Lustig
    7. Kannan Ridings
    8. Michael J. Plank
    9. Andrew Sporle

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Rapid disappearance of influenza following the implementation of COVID-19 mitigation measures in Hamilton, Ontario

    1. Kevin Zhang
    2. Avika Misra
    3. Patrick J Kim
    4. Seyed M Moghadas
    5. Joanne M Langley
    6. Marek Smieja

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Sensitivity analysis of the effects of non-pharmaceutical interventions on COVID-19 in Europe

    1. Kristian Soltesz
    2. Fredrik Gustafsson
    3. Toomas Timpka
    4. Joakim Jaldén
    5. Carl Jidling
    6. Albin Heimerson
    7. Thomas B. Schön
    8. Armin Spreco
    9. Joakim Ekberg
    10. Örjan Dahlström
    11. Fredrik Bagge Carlson
    12. Anna Jöud
    13. Bo Bernhardsson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Time to SARS‐CoV‐2 clearance among patients with cancer and COVID‐19

    1. Wenxin Xu
    2. Andrew J. Piper‐Vallillo
    3. Poorva Bindal
    4. Jonathan Wischhusen
    5. Jaymin M. Patel
    6. Daniel B. Costa
    7. Mary Linton B. Peters

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Trend prediction of COVID-19 based on ARIMA model in mainland of China

    1. Chuqiao Han
    2. Xifeng Ju
    3. Jianghua Zheng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Role of Intermediate Care Unit Admission and Noninvasive Respiratory Support during the COVID-19 Pandemic: A Retrospective Cohort Study

    1. Olivier Grosgurin
    2. Antonio Leidi
    3. Pauline Darbellay Farhoumand
    4. Sebastian Carballo
    5. Dan Adler
    6. Jean-Luc Reny
    7. Bernardo Bollen Pinto
    8. Anne Rossel
    9. Jacques Serratrice
    10. Thomas Agoritsas
    11. Jérôme Stirnemann
    12. Christophe Marti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Mental health condition of college students compared to non-students during COVID-19 lockdown: the CONFINS study

    1. Julie Arsandaux
    2. Ilaria Montagni
    3. Mélissa Macalli
    4. Nathalie Texier
    5. Mathilde Pouriel
    6. Raphaël Germain
    7. Adel Mebarki
    8. Shérazade Kinouani
    9. Marie Tournier
    10. Stéphane Schuck
    11. Christophe Tzourio

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Serological responses to human virome define clinical outcomes of Italian patients infected with SARS-CoV-2

    1. Limin Wang
    2. Julián Candia
    3. Lichun Ma
    4. Yongmei Zhao
    5. Luisa Imberti
    6. Alessandra Sottini
    7. Eugenia Quiros-Roldan
    8. Kerry Dobbs
    9. Peter D. Burbelo
    10. Jeffrey I. Cohen
    11. Ottavia M. Delmonte
    12. Marshonna Forgues
    13. Hui Liu
    14. Helen F. Matthews
    15. Elana Shaw
    16. Michael A. Stack
    17. Sarah E. Weber
    18. Yu Zhang
    19. Andrea Lisco
    20. Irini Sereti
    21. Helen C. Su
    22. Luigi D. Notarangelo
    23. Xin Wei Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1846 of 2361 Older