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. Omicron-specific mRNA vaccine elicits potent immune responses in mice, hamsters, and nonhuman primates

    1. Yi Wu
    2. Yanqiong Shen
    3. Namei Wu
    4. Xinghai Zhang
    5. Shaohong Chen
    6. Chang Yang
    7. Junhui Zhou
    8. Yan Wu
    9. Da Chen
    10. Li Wang
    11. Chao Wang
    12. Huajun Zhang
    13. Ninuo Xia
    14. Sandra Chiu
    15. Yucai Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Sleep and circadian rhythm disruption alters the lung transcriptome to predispose to viral infection

    1. Lewis Taylor
    2. Felix Von Lendenfeld
    3. Anna Ashton
    4. Harshmeena Sanghani
    5. Simona Di Pretoro
    6. Laura Usselmann
    7. Maria Veretennikova
    8. Robert Dallmann
    9. Jane A. McKeating
    10. Sridhar Vasudevan
    11. Aarti Jagannath

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Use of Convalescent Plasma Therapy with Best Available Treatment (BAT) among Hospitalized COVID-19 Patients: A Multi-Center Study

    1. Flordeluna Mesina
    2. Jomell Julian
    3. Jesus Relos
    4. Rosalio Torres
    5. Maureen Via M. Comia
    6. June Marie P. Ongkingco
    7. Jimmy R. Lafavilla

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Incidence, risk factors, natural history, and hypothesised mechanisms of myocarditis and pericarditis following covid-19 vaccination: living evidence syntheses and review

    1. Jennifer Pillay
    2. Lindsay Gaudet
    3. Aireen Wingert
    4. Liza Bialy
    5. Andrew S Mackie
    6. D Ian Paterson
    7. Lisa Hartling

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Performance Drift in a Mortality Prediction Algorithm during the SARS-CoV-2 Pandemic

    1. Ravi B. Parikh
    2. Yichen Zhang
    3. Corey Chivers
    4. Katherine R. Courtright
    5. Jingsan Zhu
    6. Caleb M. Hearn
    7. Amol S. Navathe
    8. Jinbo Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Mutation patterns in SARS-COV-2 Alpha and Beta variants indicate non-neutral evolution

    1. Monika Kurpas
    2. Marek Kimmel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Safety and immunogenicity of heterologous boost immunization with an adenovirus type-5-vectored and protein-subunit-based COVID-19 vaccine (Convidecia/ZF2001): A randomized, observer-blinded, placebo-controlled trial

    1. Pengfei Jin
    2. Xiling Guo
    3. Wei Chen
    4. Shihua Ma
    5. Hongxing Pan
    6. Lianpan Dai
    7. Pan Du
    8. Lili Wang
    9. Lairun Jin
    10. Yin Chen
    11. Fengjuan Shi
    12. Jingxian Liu
    13. Xiaoyu Xu
    14. Yanan Zhang
    15. George F. Gao
    16. Cancan Chen
    17. Jialu Feng
    18. Jingxin Li
    19. Fengcai Zhu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Immune response to SARS-CoV-2 mRNA vaccination and booster dose in patients with multiple myeloma and monoclonal gammopathies: impact of Omicron variant on the humoral response

    1. Paola Storti
    2. Valentina Marchica
    3. Rosanna Vescovini
    4. Valentina Franceschi
    5. Luca Russo
    6. Laura Notarfranchi
    7. Vincenzo Raimondi
    8. Denise Toscani
    9. Jessica Burroughs Garcia
    10. Federica Costa
    11. Benedetta Dalla Palma
    12. Nicolas Thomas Iannozzi
    13. Gabriella Sammarelli
    14. Gaetano Donofrio
    15. Nicola Giuliani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A mixture model to estimate SARS-CoV-2 seroprevalence in Chennai, India

    1. Matt D.T. Hitchings
    2. Eshan U. Patel
    3. Rifa Khan
    4. Aylur K. Srikrishnan
    5. Mark Anderson
    6. K.S. Kumar
    7. Amy P. Wesolowski
    8. Syed H. Iqbal
    9. Mary A. Rodgers
    10. Shruti H. Mehta
    11. Gavin Cloherty
    12. Derek A.T. Cummings
    13. Sunil S. Solomon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Divergent SARS-CoV-2 variant emerges in white-tailed deer with deer-to-human transmission

    1. Bradley Pickering
    2. Oliver Lung
    3. Finlay Maguire
    4. Peter Kruczkiewicz
    5. Jonathon D. Kotwa
    6. Tore Buchanan
    7. Marianne Gagnier
    8. Jennifer L. Guthrie
    9. Claire M. Jardine
    10. Alex Marchand-Austin
    11. Ariane Massé
    12. Heather McClinchey
    13. Kuganya Nirmalarajah
    14. Patryk Aftanas
    15. Juliette Blais-Savoie
    16. Hsien-Yao Chee
    17. Emily Chien
    18. Winfield Yim
    19. Andra Banete
    20. Bryan D. Griffin
    21. Lily Yip
    22. Melissa Goolia
    23. Matthew Suderman
    24. Mathieu Pinette
    25. Greg Smith
    26. Daniel Sullivan
    27. Josip Rudar
    28. Oksana Vernygora
    29. Elizabeth Adey
    30. Michelle Nebroski
    31. Guillaume Goyette
    32. Andrés Finzi
    33. Geneviève Laroche
    34. Ardeshir Ariana
    35. Brett Vahkal
    36. Marceline Côté
    37. Allison J. McGeer
    38. Larissa Nituch
    39. Samira Mubareka
    40. Jeff Bowman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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