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.

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Latest preprint reviews

  1. Comparison of mechanical homogenization versus enzymatic digestion sample preparation methodologies for SARS-CoV-2 detection in saliva for surveillance of variants of concern on the University of Tennessee campus in early 2021

    1. Magen R. Poindexter
    2. Tingting Xu
    3. Cynthia M. Swift
    4. Caleb M Proctor
    5. Fadime Kara-Murdoch
    6. Zachary P Morehouse
    7. Gabriella L Ryan
    8. Frank E. Löffler
    9. Rodney J Nash

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Performance study of a point-of-care antigen test during the SARS-CoV-2 Delta to Omicron variant transition in the USA

    1. Paul K Drain
    2. Gregory Chiklis
    3. Poppy Guest
    4. Nigel M Lindner
    5. Jayne E Ellis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Is cancer significant comorbid condition in COVID 19 infected patients? -A retrospective analysis experienced in a tertiary care center in Eastern India

    1. Kalyan K. Mukherjee
    2. Aniruddha Dam
    3. Deepa Chakrabarti
    4. Debasish Jatu
    5. Saubhik Sengupta
    6. Rita Dutta
    7. Suparna Majumdar
    8. Shyam Sundar Mandal
    9. Biswarup Basu
    10. Pratiti Bhattacharjee
    11. Dattatreya Mukherjee
    12. Sankar Sengupta
    13. Jayanta Chakrabarti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Clinical Performance of Direct RT-PCR Testing of Raw Saliva for Detection of SARS-CoV-2 in Symptomatic and Asymptomatic Individuals

    1. Rosa Castillo-Bravo
    2. Noel Lucca
    3. Linyi Lai
    4. Killian Marlborough
    5. Galina Brychkova
    6. Maryam Shideh Sakhteh
    7. Charlie Lonergan
    8. Justin O’Grady
    9. Nabil-Fareed Alikhan
    10. Alexander J. Trotter
    11. Andrew J. Page
    12. Breda Smyth
    13. Peter C. McKeown
    14. Jelena D. M. Feenstra
    15. Camilla Ulekleiv
    16. Oceane Sorel
    17. Manoj Gandhi
    18. Charles Spillane

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Human surfactant protein D facilitates SARS-CoV-2 pseudotype binding and entry in DC-SIGN expressing cells, and downregulates spike protein induced inflammation

    1. Nazar Beirag
    2. Chandan Kumar
    3. Taruna Madan
    4. Mohamed H. Shamji
    5. Roberta Bulla
    6. Daniel Mitchell
    7. Valarmathy Murugaiah
    8. Martin Mayora Neto
    9. Nigel Temperton
    10. Susan Idicula-Thomas
    11. Praveen M. Varghese
    12. Uday Kishore

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Modelling long-term COVID-19 hospital admission dynamics using empirical immune protection waning data

    1. Bastien Reyné
    2. Mircea T. Sofonea
    3. Samuel Alizon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. RT-RPA-Cas12a-based discrimination of SARS-CoV-2 variants of concern

    1. Guiyue Tang
    2. Zilong Zhang
    3. Wei Tan
    4. Fei Long
    5. Jingxian Sun
    6. Yingying Li
    7. Siwei Zou
    8. Yujiao Yang
    9. Kezhu Cai
    10. Shenwei Li
    11. Zhiyi Wang
    12. Jiakun Liu
    13. Guobing Mao
    14. Yingxin Ma
    15. Guo-Ping Zhao
    16. Zhen-Gan Tian
    17. Wei Zhao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Socio-demographic inequalities and excess non-COVID-19 mortality during the COVID-19 pandemic: a data-driven analysis of 1 069 174 death certificates in Mexico

    1. Neftali Eduardo Antonio-Villa
    2. Omar Yaxmehen Bello-Chavolla
    3. Carlos A Fermín-Martínez
    4. José Manuel Aburto
    5. Luisa Fernández-Chirino
    6. Daniel Ramírez-García
    7. Julio Pisanty-Alatorre
    8. Armando González-Díaz
    9. Arsenio Vargas-Vázquez
    10. Simón Barquera
    11. Luis Miguel Gutiérrez-Robledo
    12. Jacqueline A Seiglie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques

    1. Lauren Towler
    2. Paulina Bondaronek
    3. Trisevgeni Papakonstantinou
    4. Richard Amlôt
    5. Tim Chadborn
    6. Ben Ainsworth
    7. Lucy Yardley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Live-attenuated vaccine sCPD9 elicits superior mucosal and systemic immunity to SARS-CoV-2 variants in hamsters

    1. Geraldine Nouailles
    2. Julia M. Adler
    3. Peter Pennitz
    4. Stefan Peidli
    5. Luiz Gustavo Teixeira Alves
    6. Morris Baumgardt
    7. Judith Bushe
    8. Anne Voss
    9. Alina Langenhagen
    10. Christine Langner
    11. Ricardo Martin Vidal
    12. Fabian Pott
    13. Julia Kazmierski
    14. Aileen Ebenig
    15. Mona V. Lange
    16. Michael D. Mühlebach
    17. Cengiz Goekeri
    18. Szandor Simmons
    19. Na Xing
    20. Azza Abdelgawad
    21. Susanne Herwig
    22. Günter Cichon
    23. Daniela Niemeyer
    24. Christian Drosten
    25. Christine Goffinet
    26. Markus Landthaler
    27. Nils Blüthgen
    28. Haibo Wu
    29. Martin Witzenrath
    30. Achim D. Gruber
    31. Samantha D. Praktiknjo
    32. Nikolaus Osterrieder
    33. Emanuel Wyler
    34. Dusan Kunec
    35. Jakob Trimpert

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity
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