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. The impact of COVID‐19 upon the delivery of exercise services within cystic fibrosis clinics in the United Kingdom

    1. Owen W. Tomlinson
    2. Zoe L. Saynor
    3. Daniel Stevens
    4. Don S. Urquhart
    5. Craig A. Williams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. phastSim: Efficient simulation of sequence evolution for pandemic-scale datasets

    1. Nicola De Maio
    2. William Boulton
    3. Lukas Weilguny
    4. Conor R. Walker
    5. Yatish Turakhia
    6. Russell Corbett-Detig
    7. Nick Goldman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Two Distinct Dynamic Process Models of COVID-19 Spread with Divergent Vaccination Outcomes

    1. Ernie Chang
    2. Kenneth A. Moselle

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions

    1. Chandni Radhakrishnan
    2. Mohit Kumar Divakar
    3. Abhinav Jain
    4. Prasanth Viswanathan
    5. Rahul C. Bhoyar
    6. Bani Jolly
    7. Mohamed Imran
    8. Disha Sharma
    9. Mercy Rophina
    10. Gyan Ranjan
    11. Paras Sehgal
    12. Beena Philomina Jose
    13. Rajendran Vadukkoot Raman
    14. Thulaseedharan Nallaveettil Kesavan
    15. Kalpana George
    16. Sheela Mathew
    17. Jayesh Kumar Poovullathil
    18. Sajeeth Kumar Keeriyatt Govindan
    19. Priyanka Raveendranadhan Nair
    20. Shameer Vadekkandiyil
    21. Vineeth Gladson
    22. Midhun Mohan
    23. Fairoz Cheriyalingal Parambath
    24. Mohit Mangla
    25. Afra Shamnath
    26. Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium
    27. Sridhar Sivasubbu
    28. Vinod Scaria

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Universal Rule for Covid 19 and Herd Immunity in the US

    1. Jacob G. Kuriyan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Identification of a polymorphism in the N gene of SARS-CoV-2 that adversely impacts detection by a widely-used RT-PCR assay

    1. Manu Vanaerschot
    2. Sabrina A. Mann
    3. James T. Webber
    4. Jack Kamm
    5. Sidney M. Bell
    6. John Bell
    7. Si Noon Hong
    8. Minh Phuong Nguyen
    9. Lienna Y. Chan
    10. Karan D. Bhatt
    11. Michelle Tan
    12. Angela M. Detweiler
    13. Alex Espinosa
    14. Wesley Wu
    15. Joshua Batson
    16. David Dynerman
    17. CLIAHUB Consortium
    18. Debra A. Wadford
    19. Andreas S. Puschnik
    20. Norma Neff
    21. Vida Ahyong
    22. Steve Miller
    23. Patrick Ayscue
    24. Cristina M. Tato
    25. Simon Paul
    26. Amy Kistler
    27. Joseph L. DeRisi
    28. Emily D. Crawford

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Factors associated with COVID-19 viral and antibody test positivity and assessment of test concordance: a retrospective cohort study using electronic health records from the USA

    1. Lisa Lindsay
    2. Matthew H Secrest
    3. Shemra Rizzo
    4. Daniel S Keebler
    5. Fei Yang
    6. Larry Tsai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Nucleic acid delivery of immune-focused SARS-CoV-2 nanoparticles drives rapid and potent immunogenicity capable of single-dose protection

    1. Kylie M. Konrath
    2. Kevin Liaw
    3. Yuanhan Wu
    4. Xizhou Zhu
    5. Susanne N. Walker
    6. Ziyang Xu
    7. Katherine Schultheis
    8. Neethu Chokkalingam
    9. Himanshi Chawla
    10. Jianqiu Du
    11. Nicholas J. Tursi
    12. Alan Moore
    13. Jared Adolf-Bryfogle
    14. Mansi Purwar
    15. Emma L. Reuschel
    16. Drew Frase
    17. Matthew Sullivan
    18. Benjamin Fry
    19. Igor Maricic
    20. Viviane M. Andrade
    21. Christel Iffland
    22. Max Crispin
    23. Kate E. Broderick
    24. Laurent M.P.F. Humeau
    25. Ami Patel
    26. Trevor R.F. Smith
    27. Jesper Pallesen
    28. David B. Weiner
    29. Daniel W. Kulp

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19 related chemosensory changes in individuals with self-reported obesity

    1. S. Bhutani
    2. G. Coppin
    3. M.G. Veldhuizen
    4. V. Parma
    5. P.V. Joseph

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests

    1. Theresa Roland
    2. Carl Böck
    3. Thomas Tschoellitsch
    4. Alexander Maletzky
    5. Sepp Hochreiter
    6. Jens Meier
    7. Günter Klambauer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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