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. Making the invisible enemy visible

    1. Tristan I. Croll
    2. Kay Diederichs
    3. Florens Fischer
    4. Cameron D. Fyfe
    5. Yunyun Gao
    6. Sam Horrell
    7. Agnel Praveen Joseph
    8. Luise Kandler
    9. Oliver Kippes
    10. Ferdinand Kirsten
    11. Konstantin Müller
    12. Kristopher Nolte
    13. Alexander M. Payne
    14. Matthew Reeves
    15. Jane S. Richardson
    16. Gianluca Santoni
    17. Sabrina Stäb
    18. Dale E. Tronrud
    19. Lea C. von Soosten
    20. Christopher J. Williams
    21. Andrea Thorn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state

    1. Matthew Abueg
    2. Robert Hinch
    3. Neo Wu
    4. Luyang Liu
    5. William Probert
    6. Austin Wu
    7. Paul Eastham
    8. Yusef Shafi
    9. Matt Rosencrantz
    10. Michael Dikovsky
    11. Zhao Cheng
    12. Anel Nurtay
    13. Lucie Abeler-Dörner
    14. David Bonsall
    15. Michael V. McConnell
    16. Shawn O’Banion
    17. Christophe Fraser

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Linear regression analysis of COVID-19 outbreak and control in Henan province caused by the output population from Wuhan

    1. Cheng Yuan yuan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Clinically distinct COVID-19 cases share notably similar immune response progression: A follow-up analysis

    1. Melissa A. Hausburg
    2. Kaysie L. Banton
    3. Michael Roshon
    4. David Bar-Or

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Generic probabilistic modelling and non-homogeneity issues for the UK epidemic of COVID-19

    1. Anatoly Zhigljavsky
    2. Roger Whitaker
    3. Ivan Fesenko
    4. Kobi Kremnizer
    5. Jack Noonan
    6. Paul Harper
    7. Jonathan Gillard
    8. Thomas Woolley
    9. Daniel Gartner
    10. Jasmine Grimsley
    11. Edilson de Arruda
    12. Val Fedorov
    13. Tom Crick

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Severe T cell hyporeactivity in ventilated COVID-19 patients correlates with prolonged virus persistence and poor outcomes

    1. Kerstin Renner
    2. Tobias Schwittay
    3. Sophia Chaabane
    4. Johanna Gottschling
    5. Christine Müller
    6. Charlotte Tiefenböck
    7. Jan-Niklas Salewski
    8. Frederike Winter
    9. Simone Buchtler
    10. Saidou Balam
    11. Maximilian V. Malfertheiner
    12. Matthias Lubnow
    13. Dirk Lunz
    14. Bernhard Graf
    15. Florian Hitzenbichler
    16. Frank Hanses
    17. Hendrik Poeck
    18. Marina Kreutz
    19. Evelyn Orsó
    20. Ralph Burkhardt
    21. Tanja Niedermair
    22. Christoph Brochhausen
    23. André Gessner
    24. Bernd Salzberger
    25. Matthias Mack

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Continuous population-level monitoring of SARS-CoV-2 seroprevalence in a large European metropolitan region

    1. Marc Emmenegger
    2. Elena De Cecco
    3. David Lamparter
    4. Raphaël P.B. Jacquat
    5. Julien Riou
    6. Dominik Menges
    7. Tala Ballouz
    8. Daniel Ebner
    9. Matthias M. Schneider
    10. Itzel Condado Morales
    11. Berre Doğançay
    12. Jingjing Guo
    13. Anne Wiedmer
    14. Julie Domange
    15. Marigona Imeri
    16. Rita Moos
    17. Chryssa Zografou
    18. Leyla Batkitar
    19. Lidia Madrigal
    20. Dezirae Schneider
    21. Chiara Trevisan
    22. Andres Gonzalez-Guerra
    23. Alessandra Carrella
    24. Irina L. Dubach
    25. Catherine K. Xu
    26. Georg Meisl
    27. Vasilis Kosmoliaptsis
    28. Tomas Malinauskas
    29. Nicola Burgess-Brown
    30. Ray Owens
    31. Stephanie Hatch
    32. Juthathip Mongkolsapaya
    33. Gavin R. Screaton
    34. Katharina Schubert
    35. John D. Huck
    36. Feimei Liu
    37. Florence Pojer
    38. Kelvin Lau
    39. David Hacker
    40. Elsbeth Probst-Müller
    41. Carlo Cervia
    42. Jakob Nilsson
    43. Onur Boyman
    44. Lanja Saleh
    45. Katharina Spanaus
    46. Arnold von Eckardstein
    47. Dominik J. Schaer
    48. Nenad Ban
    49. Ching-Ju Tsai
    50. Jacopo Marino
    51. Gebhard F.X. Schertler
    52. Nadine Ebert
    53. Volker Thiel
    54. Jochen Gottschalk
    55. Beat M. Frey
    56. Regina R. Reimann
    57. Simone Hornemann
    58. Aaron M. Ring
    59. Tuomas P.J. Knowles
    60. Milo A. Puhan
    61. Christian L. Althaus
    62. Ioannis Xenarios
    63. David I. Stuart
    64. Adriano Aguzzi

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Characteristics of those most vulnerable to employment changes during the COVID-19 pandemic: a nationally representative cross-sectional study in Wales

    1. Benjamin J Gray
    2. Richard G Kyle
    3. Jiao Song
    4. Alisha R Davies

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A model to rate strategies for managing disease due to COVID-19 infection

    1. Shiyan Wang
    2. Doraiswami Ramkrishna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Characteristics of COVID-19 fatality cases in East Kalimantan, Indonesia

    1. Swandari Paramita
    2. Ronny Isnuwardana
    3. Krispinus Duma
    4. Rahmat Bakhtiar
    5. Muhammad Khairul Nuryanto
    6. Riries Choiru Pramulia Yudia
    7. Evi Fitriany
    8. Meiliati Aminyoto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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