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. Cerebral venous thrombosis and portal vein thrombosis: A retrospective cohort study of 537,913 COVID-19 cases

    1. Maxime Taquet
    2. Masud Husain
    3. John R Geddes
    4. Sierra Luciano
    5. Paul J Harrison

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Effect of commuting on the risk of COVID-19 and COVID-19-induced anxiety in Japan, December 2020

    1. Hajime Ando
    2. Kazunori Ikegami
    3. Tomohisa Nagata
    4. Seiichiro Tateishi
    5. Hisashi Eguchi
    6. Mayumi Tsuji
    7. Shinya Matsuda
    8. Yoshihisa Fujino
    9. Akira Ogami
    10. for the CORoNaWork Project

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Environmental Screening for Surface SARS-CoV-2 Contamination in Urban High-Touch Areas

    1. Lauren Roppolo Brazell
    2. Shawna Stetz
    3. Adam Hipp
    4. Samantha Taylor
    5. Nicholas Stark
    6. Katherine Jensen
    7. Md Ariful Islam Juel
    8. Patrick Deegan
    9. Mariya Munir
    10. Jessica Schlueter
    11. Jennifer Weller
    12. Cynthia Gibas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Effects of COVID-19 Mental Health Interventions Among Children, Adolescents, and Adults Not Quarantined or Undergoing Treatment Due to COVID-19 Infection: A Systematic Review of Randomised Controlled Trials

    1. Olivia Bonardi
    2. Yutong Wang
    3. Kexin Li
    4. Xiaowen Jiang
    5. Ankur Krishnan
    6. Chen He
    7. Ying Sun
    8. Yin Wu
    9. Jill T. Boruff
    10. Sarah Markham
    11. Danielle B. Rice
    12. Ian Thombs-Vite
    13. Amina Tasleem
    14. Tiffany Dal Santo
    15. Anneke Yao
    16. Marleine Azar
    17. Branka Agic
    18. Christine Fahim
    19. Michael S. Martin
    20. Sanjeev Sockalingam
    21. Gustavo Turecki
    22. Andrea Benedetti
    23. Brett D. Thombs

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Protective heterologous T cell immunity in COVID-19 induced by the trivalent MMR and Tdap vaccine antigens

    1. Vijayashree Mysore
    2. Xavier Cullere
    3. Matthew L. Settles
    4. Xinge Ji
    5. Michael W. Kattan
    6. Michaël Desjardins
    7. Blythe Durbin-Johnson
    8. Tal Gilboa
    9. Lindsey R. Baden
    10. David R. Walt
    11. Andrew H. Lichtman
    12. Lara Jehi
    13. Tanya N. Mayadas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Rehabilitation needs and mortality associated with the Covid-19 pandemic: a population-based study of all hospitalised and home-healthcare individuals in a Swedish healthcare region

    1. Anestis Divanoglou
    2. Assoc. Prof Kersti Samuelsson
    3. Prof. Emer. Rune Sjödahl
    4. Christer Andersson
    5. Prof. Richard Levi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Vaccination strategies when vaccines are scarce: on conflicts between reducing the burden and avoiding the evolution of escape mutants

    1. Félix Geoffroy
    2. Arne Traulsen
    3. Hildegard Uecker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A prospective diagnostic study to measure the accuracy of detection of SARS-CoV-2 Variants Of Concern (VOC) utilising a novel RT-PCR GENotyping algorithm in an In silico Evaluation (VOC-GENIE)

    1. Daryl Borley
    2. R.A. Trevor
    3. Alex Richter
    4. Stephen Kidd
    5. Nick Cortes
    6. Nathan Moore
    7. Alice Goring
    8. Kate Templeton
    9. Prachi Teltumbde
    10. Seden Grippon
    11. Paul Oladimeji
    12. Aida Sanchez-Bretano
    13. Andrew Dawson
    14. Joanne E Martin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Sex-biased response to and brain cell infection by SARS-CoV-2 in a highly susceptible human ACE2 transgenic model

    1. Ching-Yen Tsai
    2. Chiung-Ya Chen
    3. Jia-Tsrong Jan
    4. Yu-Chi Chou
    5. Mei-Ling Chang
    6. Lu A Lu
    7. Pau-Yi Huang
    8. Mandy F.-C. Chu
    9. Tsan-Ting Hsu
    10. Yi-Ping Hsueh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Protocol of the COVID-19 Health Adherence Research in Scotland Vaccination (CHARIS-V) study: Understanding the influence of vaccination decisions on adherence to transmission-reducing behaviours in a prospective longitudinal study of the Scottish Population

    1. Marina Maciver
    2. Chantal Den Daas
    3. Marie Johnston
    4. Diane Dixon
    5. Gill Hubbard

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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