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. Temporal Variations in Seroprevalence of Severe Acute Respiratory Syndrome Coronavirus 2 Infections by Race and Ethnicity in Arkansas

    1. Joshua L Kennedy
    2. J Craig Forrest
    3. Sean G Young
    4. Benjamin Amick
    5. Mark Williams
    6. Laura James
    7. Jessica Snowden
    8. Victor M Cardenas
    9. Danielle Boothe
    10. Catherine Kirkpatrick
    11. Zeel Modi
    12. Katherine Caid
    13. Shana Owens
    14. Marianne Kouassi
    15. Ryan Mann
    16. Claire Putt
    17. Katherine Irish-Clardy
    18. Michael Macechko
    19. Ronald K Brimberry
    20. Wendy N Nembhard
    21. Pearl A McElfish
    22. Ruofei Du
    23. Jing Jin
    24. Namvar Zohoori
    25. Atul Kothari
    26. Hoda Hagrass
    27. Ericka Olgaard
    28. Karl W Boehme

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Characterising within-hospital SARS-CoV-2 transmission events: a retrospective analysis integrating epidemiological and viral genomic data from a UK tertiary care setting across two pandemic waves

    1. Benjamin B. Lindsey
    2. Ch. Julián Villabona-Arenas
    3. Finlay Campbell
    4. Alexander J. Keeley
    5. Matthew D. Parker
    6. Dhruv R Shah
    7. Helena Parsons
    8. Peijun Zhang
    9. Nishchay Kakkar
    10. Marta Gallis
    11. Benjamin H. Foulkes
    12. Paige Wolverson
    13. Stavroula F Louka
    14. Stella Christou
    15. Amy State
    16. Katie Johnson
    17. Mohammad Raza
    18. Sharon Hsu
    19. Thibaut Jombart
    20. Anne Cori
    21. Sheffield COVID-19 Genomics Group
    22. The COVID-19 Genomics UK (COG-UK) consortium
    23. CMMID COVID-19 working group
    24. Cariad M. Evans
    25. David G. Partridge
    26. Katherine E. Atkins
    27. Stéphane Hué
    28. Thushan I. de Silva

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Integrative Multi-Omics Landscape of Non-Structural Protein 3 of Severe Acute Respiratory Syndrome Coronaviruses

    1. Ruona Shi
    2. Zhenhuan Feng
    3. Xiaofei Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Association between willingness to receive the COVID-19 vaccine and sources of health information among Japanese workers: a cohort study

    1. Ko Hiraoka
    2. Tomohisa Nagata
    3. Takahiro Mori
    4. Hajime Ando
    5. Ayako Hino
    6. Seiichiro Tateishi
    7. Mayumi Tsuji
    8. Shinya Matsuda
    9. Yoshihisa Fujino

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Timeline of SARS-CoV-2 Spread in Italy: Results from an Independent Serological Retesting

    1. Emanuele Montomoli
    2. Giovanni Apolone
    3. Alessandro Manenti
    4. Mattia Boeri
    5. Paola Suatoni
    6. Federica Sabia
    7. Alfonso Marchianò
    8. Valentina Bollati
    9. Ugo Pastorino
    10. Gabriella Sozzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. ABO and Rh blood groups, demographics, and comorbidities in COVID-19 related deaths: A retrospective study in Split-Dalmatia County, Croatia

    1. Ivan Brdar
    2. Ivan Jerković
    3. Željana Bašić
    4. Nenad Kunac
    5. Deny Anđelinović
    6. Joško Bezić
    7. Ivana Kružić
    8. Arijana Vuko
    9. Šimun Anđelinović

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. ACE2 binding is an ancestral and evolvable trait of sarbecoviruses

    1. Tyler N. Starr
    2. Samantha K. Zepeda
    3. Alexandra C. Walls
    4. Allison J. Greaney
    5. Sergey Alkhovsky
    6. David Veesler
    7. Jesse D. Bloom

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Serological Testing Reveals the Hidden COVID-19 Burden among Health Care Workers Experiencing a SARS-CoV-2 Nosocomial Outbreak

    1. Yu Nakagama
    2. Yuko Komase
    3. Katherine Candray
    4. Sachie Nakagama
    5. Fumiaki Sano
    6. Tomoya Tsuchida
    7. Hiroyuki Kunishima
    8. Takumi Imai
    9. Ayumi Shintani
    10. Yuko Nitahara
    11. Natsuko Kaku
    12. Yasutoshi Kido

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Predicting infectivity: comparing four PCR‐based assays to detect culturable SARS‐CoV‐2 in clinical samples

    1. Emily A Bruce
    2. Margaret G Mills
    3. Reigran Sampoleo
    4. Garrett A Perchetti
    5. Meei‐Li Huang
    6. Hannah W Despres
    7. Madaline M Schmidt
    8. Pavitra Roychoudhury
    9. David J Shirley
    10. Keith R Jerome
    11. Alexander L Greninger
    12. Jason W Botten

    Reviewed by Review Commons, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  10. Kinetics of immune responses to SARS-CoV-2 proteins in individuals with varying severity of infection and following a single dose of the AZD1222

    1. Deshni Jayathilaka
    2. Chandima Jeewandara
    3. Laksiri Gomes
    4. Tibutius Thanesh Pramanayagam Jayadas
    5. Achala Kamaladasa
    6. Gayasha Somathilake
    7. Dinuka Guruge
    8. Pradeep Darshana Pushpakumara
    9. Thushali Ranasinghe
    10. Inoka Sepali Aberathna
    11. Saubhagya Danasekara
    12. Buddini Gunathilaka
    13. Heshan Kuruppu
    14. Ananda Wijewickrama
    15. Ruwan Wijayamuni
    16. Lisa Schimanski
    17. T K Tan
    18. Graham S Ogg
    19. Alain Townsend
    20. Gathsaurie Neelika Malavige

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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