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. Antibody Binding to SARS-CoV-2 S Glycoprotein Correlates with but Does Not Predict Neutralization

    1. Shilei Ding
    2. Annemarie Laumaea
    3. Mehdi Benlarbi
    4. Guillaume Beaudoin-Bussières
    5. Romain Gasser
    6. Halima Medjahed
    7. Marie Pancera
    8. Leonidas Stamatatos
    9. Andrew McGuire
    10. Renée Bazin
    11. Andrés Finzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. SARS-CoV-2 BNT162b2 vaccine–induced humoral response and reactogenicity in individuals with prior COVID-19 disease

    1. Steven G. Kelsen
    2. Alan S. Braverman
    3. Mark O. Aksoy
    4. Jacob A. Hayman
    5. Puja S. Patel
    6. Charu Rajput
    7. Huaqing Zhao
    8. Susan G. Fisher
    9. Michael R. Ruggieri
    10. Nina T. Gentile

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Clinical and Histopathologic Features of a Feline SARS-CoV-2 Infection Model Are Analogous to Acute COVID-19 in Humans

    1. Jennifer M. Rudd
    2. Miruthula Tamil Selvan
    3. Shannon Cowan
    4. Yun-Fan Kao
    5. Cecily C. Midkiff
    6. Sai Narayanan
    7. Akhilesh Ramachandran
    8. Jerry W. Ritchey
    9. Craig A. Miller

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Hospitalization of mild cases of community-acquired pneumonia decreased more than severe cases during the COVID-19 pandemic

    1. Hiroyuki Nagano
    2. Daisuke Takada
    3. Jung-ho Shin
    4. Tetsuji Morishita
    5. Susumu Kunisawa
    6. Yuichi Imanaka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers

    1. Xiaofeng Dong
    2. Rebekah Penrice-Randal
    3. Hannah Goldswain
    4. Tessa Prince
    5. Nadine Randle
    6. I'ah Donovan-Banfield
    7. Francisco J Salguero
    8. Julia Tree
    9. Ecaterina Vamos
    10. Charlotte Nelson
    11. Jordan Clark
    12. Yan Ryan
    13. James P Stewart
    14. Malcolm G Semple
    15. J Kenneth Baillie
    16. Peter J M Openshaw
    17. Lance Turtle
    18. David A Matthews
    19. Miles W Carroll
    20. Alistair C Darby
    21. Julian A Hiscox

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Modeling Donor Screening Strategies to Reduce the Risk of Severe Acute Respiratory Syndrome Coronavirus 2 Transmission via Fecal Microbiota Transplantation

    1. Scott W Olesen
    2. Amanda Zaman
    3. Majdi Osman
    4. Bharat Ramakrishna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Development and validation of the 4C Deterioration model for adults hospitalised with COVID-19

    1. Rishi K Gupta
    2. Ewen M Harrison
    3. Antonia Ho
    4. Annemarie B Docherty
    5. Stephen R Knight
    6. Maarten van Smeden
    7. Ibrahim Abubakar
    8. Marc Lipman
    9. Matteo Quartagno
    10. Riinu Pius
    11. Iain Buchan
    12. Gail Carson
    13. Thomas M Drake
    14. Jake Dunning
    15. Cameron J Fairfield
    16. Carrol Gamble
    17. Christopher A Green
    18. Sophie Halpin
    19. Hayley E Hardwick
    20. Karl A Holden
    21. Peter W Horby
    22. Clare Jackson
    23. Kenneth A Mclean
    24. Laura Merson
    25. Jonathan S Nguyen-Van-Tam
    26. Lisa Norman
    27. Piero L Olliaro
    28. Mark G Pritchard
    29. Clark D Russell
    30. James Scott-Brown
    31. Catherine A Shaw
    32. Aziz Sheikh
    33. Tom Solomon
    34. Cathie Sudlow
    35. Olivia V Swann
    36. Lance Turtle
    37. Peter JM Openshaw
    38. J Kenneth Baillie
    39. Malcolm G Semple
    40. Mahdad Noursadeghi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Predicted structural mimicry of spike receptor-binding motifs from highly pathogenic human coronaviruses

    1. Christopher A Beaudoin
    2. Arian R Jamasb
    3. Ali F Alsulami
    4. Liviu Copoiu
    5. Andries J van Tonder
    6. Sharif Hala
    7. Bridget P Bannerman
    8. Sherine E Thomas
    9. Sundeep Chaitanya Vedithi
    10. Pedro H M Torres
    11. Tom L Blundell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Who funded the research behind the Oxford–AstraZeneca COVID-19 vaccine?

    1. Samuel Cross
    2. Yeanuk Rho
    3. Henna Reddy
    4. Toby Pepperrell
    5. Florence Rodgers
    6. Rhiannon Osborne
    7. Ayolola Eni-Olotu
    8. Rishi Banerjee
    9. Sabrina Wimmer
    10. Sarai Keestra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Single dose of BNT162b2 mRNA vaccine against SARS-CoV-2 induces high frequency of neutralising antibody and polyfunctional T-cell responses in patients with myeloproliferative neoplasms

    1. Patrick Harrington
    2. Hugues de Lavallade
    3. Katie J. Doores
    4. Amy O’Reilly
    5. Jeffrey Seow
    6. Carl Graham
    7. Thomas Lechmere
    8. Deepti Radia
    9. Richard Dillon
    10. Yogita Shanmugharaj
    11. Andreas Espehana
    12. Claire Woodley
    13. Jamie Saunders
    14. Natalia Curto-Garcia
    15. Jennifer O’Sullivan
    16. Kavita Raj
    17. Shahram Kordasti
    18. Michael H. Malim
    19. Claire N. Harrison
    20. Donal P. McLornan

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
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