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. Antigenic evolution of SARS-CoV-2 in immunocompromised hosts

    1. Cameron A Smith
    2. Ben Ashby

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Structural and functional impact by SARS-CoV-2 Omicron spike mutations

    1. Jun Zhang
    2. Yongfei Cai
    3. Christy L. Lavine
    4. Hanqin Peng
    5. Haisun Zhu
    6. Krishna Anand
    7. Pei Tong
    8. Avneesh Gautam
    9. Megan L. Mayer
    10. Sophia Rits-Volloch
    11. Shaowei Wang
    12. Piotr Sliz
    13. Duane R. Wesemann
    14. Wei Yang
    15. Michael S. Seaman
    16. Jianming Lu
    17. Tianshu Xiao
    18. Bing Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Seasonal Prediction of Omicron Pandemic

    1. Jianping Huang
    2. Yingjie Zhao
    3. Li Zhang
    4. Xu Li
    5. Shuoyuan Gao
    6. Xiaodong Song

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Favipiravir, umifenovir and camostat mesylate: a comparative study against SARS-CoV-2

    1. Mehnmet Altay Unal
    2. Omur Besbinar
    3. Hasan Nazir
    4. Gokce Yagmur Summak
    5. Fatma Bayrakdar
    6. Lucia Gemma Delogu
    7. Tambay Taskin
    8. Sibel Aysil Ozkan
    9. Kamil Can Akcali
    10. Acelya Yilmazer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID infection severity in children under 5 years old before and after Omicron emergence in the US

    1. Lindsey Wang
    2. Nathan A. Berger
    3. David C. Kaelber
    4. Pamela B. Davis
    5. Nora D. Volkow
    6. Rong Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. SARS-CoV-2 drives NLRP3 inflammasome activation in human microglia through spike-ACE2 receptor interaction

    1. Eduardo Albornoz
    2. Alberto A Amarilla
    3. Naphak Modhiran
    4. Sandra Parker
    5. Xaria X. Li
    6. Danushka K. Wijesundara
    7. Adriana Pliego Zamora
    8. Christopher LD McMillan
    9. Benjamin Liang
    10. Nias Y.G. Peng
    11. Julian D.J. Sng
    12. Fatema Tuj Saima
    13. Devina Paramitha
    14. Rhys Parry
    15. Michael S. Avumegah
    16. Ariel Isaacs
    17. Martin Lo
    18. Zaray Miranda-Chacon
    19. Daniella Bradshaw
    20. Constanza Salinas-Rebolledo
    21. Niwanthi W. Rajapakse
    22. Trent Munro
    23. Alejandro Rojas-Fernandez
    24. Paul R. Young
    25. Katryn J Stacey
    26. Alexander A. Khromykh
    27. Keith J. Chappell
    28. Daniel Watterson
    29. Trent M. Woodruff

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Imprinted SARS-CoV-2-specific memory lymphocytes define hybrid immunity

    1. Lauren B. Rodda
    2. Peter A. Morawski
    3. Kurt B. Pruner
    4. Mitchell L. Fahning
    5. Christian A. Howard
    6. Nicholas Franko
    7. Jennifer Logue
    8. Julie Eggenberger
    9. Caleb Stokes
    10. Inah Golez
    11. Malika Hale
    12. Michael Gale
    13. Helen Y. Chu
    14. Daniel J. Campbell
    15. Marion Pepper

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Large-scale serosurveillance of COVID-19 in Japan: Acquisition of neutralizing antibodies for Delta but not for Omicron and requirement of booster vaccination to overcome the Omicron’s outbreak

    1. Zhenxiao Ren
    2. Mitsuhiro Nishimura
    3. Lidya Handayani Tjan
    4. Koichi Furukawa
    5. Yukiya Kurahashi
    6. Silvia Sutandhio
    7. Kaito Aoki
    8. Natsumi Hasegawa
    9. Jun Arii
    10. Kenichi Uto
    11. Keiji Matsui
    12. Itsuko Sato
    13. Jun Saegusa
    14. Nonoka Godai
    15. Kohei Takeshita
    16. Masaki Yamamoto
    17. Tatsuya Nagashima
    18. Yasuko Mori

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Incidence and Risk Factors of Immediate Hypersensitivity Reactions and Immunization Stress-Related Responses With COVID-19 mRNA Vaccine

    1. Kazuo Imai
    2. Fumika Tanaka
    3. Shuichi Kawano
    4. Kotoba Esaki
    5. Junko Arakawa
    6. Takashi Nishiyama
    7. Soichiro Seno
    8. Kosuke Hatanaka
    9. Takao Sugiura
    10. Yu Kodama
    11. Seigo Yamada
    12. Shinichiro Iwamoto
    13. Shigeto Takeshima
    14. Nobujiro Abe
    15. Chikako Kamae
    16. Shigeaki Aono
    17. Toshimitsu Ito
    18. Tetsuo Yamamoto
    19. Yasunori Mizuguchi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Systemic infection of SARS-CoV-2 in free ranging Leopard ( Panthera pardus fusca ) in India

    1. Sonalika Mahajan
    2. Mathesh Karikalan
    3. Vishal Chander
    4. Abhijit M. Pawde
    5. G Saikumar
    6. M Semmaran
    7. P Sree Lakshmi
    8. Megha Sharma
    9. Sukdeb Nandi
    10. Karam Pal Singh
    11. Vivek Kumar Gupta
    12. Raj Kumar Singh
    13. Gaurav Kumar Sharma

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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