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. Convergent use of phosphatidic acid for hepatitis C virus and SARS-CoV-2 replication organelle formation

    1. Keisuke Tabata
    2. Vibhu Prasad
    3. David Paul
    4. Ji-Young Lee
    5. Minh-Tu Pham
    6. Woan-Ing Twu
    7. Christopher J. Neufeldt
    8. Mirko Cortese
    9. Berati Cerikan
    10. Yannick Stahl
    11. Sebastian Joecks
    12. Cong Si Tran
    13. Christian Lüchtenborg
    14. Philip V’kovski
    15. Katrin Hörmann
    16. André C. Müller
    17. Carolin Zitzmann
    18. Uta Haselmann
    19. Jürgen Beneke
    20. Lars Kaderali
    21. Holger Erfle
    22. Volker Thiel
    23. Volker Lohmann
    24. Giulio Superti-Furga
    25. Britta Brügger
    26. Ralf Bartenschlager

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Disordered eating and self-harm as risk factors for poorer mental health during the COVID-19 pandemic: a UK-based birth cohort study

    1. Naomi Warne
    2. Jon Heron
    3. Becky Mars
    4. Alex S. F. Kwong
    5. Francesca Solmi
    6. Rebecca Pearson
    7. Paul Moran
    8. Helen Bould

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Phylodynamic insights on the early spread of the COVID-19 pandemic and the efficacy of intervention measures

    1. Jiansi Gao
    2. Michael R. May
    3. Bruce Rannala
    4. Brian R. Moore

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. LACK OF ASSOCIATION BETWEEN CONVALESCENT PLASMA ADMINISTRATION AND LENGTH OF HOSPITAL STAY: A HOSPITAL-DAY STRATIFIED MULTI-CENTER RETROSPECTIVE COHORT STUDY

    1. Joy Alamgir
    2. M. Ruhul Abid
    3. Brian Garibaldi
    4. Naved Munir
    5. Soko Setoguchi
    6. Stephanie S. Hong
    7. Xinci Chen
    8. Paul T. Kocis
    9. Masanao Yajima
    10. G. Caleb Alexander
    11. Hemalkumar B. Mehta
    12. Vithal Madhira
    13. Rosa Ergas
    14. Thomas R. O’Brien
    15. Sam Bozzette

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Fatal COVID-19 outcomes are associated with an antibody response targeting epitopes shared with endemic coronaviruses

    1. Anna L. McNaughton
    2. Robert S. Paton
    3. Matthew Edmans
    4. Jonathan Youngs
    5. Judith Wellens
    6. Prabhjeet Phalora
    7. Alex Fyfe
    8. Sandra Belij-Rammerstorfer
    9. Jai S. Bolton
    10. Jonathan Ball
    11. George W. Carnell
    12. Wanwisa Dejnirattisai
    13. Christina Dold
    14. David W. Eyre
    15. Philip Hopkins
    16. Alison Howarth
    17. Kreepa Kooblall
    18. Hannah Klim
    19. Susannah Leaver
    20. Lian Ni Lee
    21. César López-Camacho
    22. Sheila F. Lumley
    23. Derek C. Macallan
    24. Alexander J. Mentzer
    25. Nicholas M. Provine
    26. Jeremy Ratcliff
    27. Jose Slon-Compos
    28. Donal Skelly
    29. Lucas Stolle
    30. Piyada Supasa
    31. Nigel Temperton
    32. Chris Walker
    33. Beibei Wang
    34. Duncan Wyncoll
    35. Peter Simmonds
    36. Teresa Lambe
    37. John Kenneth Baillie
    38. Malcolm G. Semple
    39. Peter J.M. Openshaw
    40. Uri Obolski
    41. Marc Turner
    42. Miles Carroll
    43. Juthathip Mongkolsapaya
    44. Gavin Screaton
    45. Stephen H. Kennedy
    46. Lisa Jarvis
    47. Eleanor Barnes
    48. Susanna Dunachie
    49. José Lourenço
    50. Philippa C. Matthews
    51. Tihana Bicanic
    52. Paul Klenerman
    53. Sunetra Gupta
    54. Craig P. Thompson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Women’s views on accepting COVID-19 vaccination during and after pregnancy, and for their babies: a multi-methods study in the UK

    1. Helen Skirrow
    2. Sara Barnett
    3. Sadie Bell
    4. Lucia Riaposova
    5. Sandra Mounier-Jack
    6. Beate Kampmann
    7. Beth Holder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Does the data tell the true story? A modelling assessment of early COVID-19 pandemic suppression and mitigation strategies in Ghana

    1. Nana Kena Frempong
    2. Theophilus Acheampong
    3. Ofosuhene O. Apenteng
    4. Emmanuel Nakua
    5. John H. Amuasi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Cross-sectional study of the association between perceived organizational support and COVID-19 vaccine intention

    1. Yuichi Kobayashi
    2. Tomohisa Nagata
    3. Yoshihisa Fujino
    4. Ayako Hino
    5. Seiichiro Tateishi
    6. Akira Ogami
    7. Mayumi Tsuji
    8. Shinya Matsuda
    9. Koji Mori
    10. CORoNaWork project

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Importance of E484K and N501Y mutations in SARS-CoV-2 for genomic surveillance: rapid detection by restriction enzyme analysis

    1. Rossana C Jaspe
    2. Yoneira Sulbaran
    3. Carmen L Loureiro
    4. Pierina D’Angelo
    5. Lieska Rodríguez
    6. Domingo J Garzaro
    7. Héctor R Rangel
    8. Flor H Pujol

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A rapid and reliable liquid chromatography/mass spectrometry method for SARS-CoV-2 analysis from gargle solutions and saliva

    1. Marc Kipping
    2. Dirk Tänzler
    3. Andrea Sinz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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