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. Impact of the COVID-19 pandemic on anxiety and depression symptoms of young people in the global south: evidence from a four-country cohort study

    1. Catherine Porter
    2. Marta Favara
    3. Annina Hittmeyer
    4. Douglas Scott
    5. Alan Sánchez Jiménez
    6. Revathi Ellanki
    7. Tassew Woldehanna
    8. Le Thuc Duc
    9. Michelle G Craske
    10. Alan Stein

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Sofosbuvir terminated RNA is more resistant to SARS-CoV-2 proofreader than RNA terminated by Remdesivir

    1. Steffen Jockusch
    2. Chuanjuan Tao
    3. Xiaoxu Li
    4. Minchen Chien
    5. Shiv Kumar
    6. Irina Morozova
    7. Sergey Kalachikov
    8. James J. Russo
    9. Jingyue Ju

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. SARS-CoV-2 Seroprevalence in Tamil Nadu in October-November 2020

    1. Anup Malani
    2. Sabareesh Ramachandran
    3. Vaidehi Tandel
    4. Rajeswari Parasa
    5. Sofia Imad
    6. S. Sudharshini
    7. V. Prakash
    8. Y. Yogananth
    9. S. Raju
    10. T.S. Selvavinayagam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Profiling SARS-CoV-2 mutation fingerprints that range from the viral pangenome to individual infection quasispecies

    1. Billy T. Lau
    2. Dmitri Pavlichin
    3. Anna C. Hooker
    4. Alison Almeda
    5. Giwon Shin
    6. Jiamin Chen
    7. Malaya K. Sahoo
    8. Chun Hong Huang
    9. Benjamin A. Pinsky
    10. Ho Joon Lee
    11. Hanlee P. Ji

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Association between living with children and outcomes from covid-19: OpenSAFELY cohort study of 12 million adults in England

    1. Harriet Forbes
    2. Caroline E Morton
    3. Seb Bacon
    4. Helen I McDonald
    5. Caroline Minassian
    6. Jeremy P Brown
    7. Christopher T Rentsch
    8. Rohini Mathur
    9. Anna Schultze
    10. Nicholas J DeVito
    11. Brian MacKenna
    12. William J Hulme
    13. Richard Croker
    14. Alex J Walker
    15. Elizabeth J Williamson
    16. Chris Bates
    17. Amir Mehrkar
    18. Helen J Curtis
    19. David Evans
    20. Kevin Wing
    21. Peter Inglesby
    22. Henry Drysdale
    23. Angel Y S Wong
    24. Jonathan Cockburn
    25. Robert McManus
    26. John Parry
    27. Frank Hester
    28. Sam Harper
    29. Ian J Douglas
    30. Liam Smeeth
    31. Stephen J W Evans
    32. Krishnan Bhaskaran
    33. Rosalind M Eggo
    34. Ben Goldacre
    35. Laurie A Tomlinson

    Reviewed by ScreenIT, NCRC

    3 evaluationsAppears in 3 listsLatest version Latest activity

  6. How lifestyle changes within the COVID-19 global pandemic have affected the pattern and symptoms of the menstrual cycle

    1. Georgie Bruinvels
    2. Esther Goldsmith
    3. Richard C. Blagrove
    4. Dan Martin
    5. Laurence Shaw
    6. Jessica Piasecki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Seroprevalence of Antibodies to SARS-CoV-2 in US Blood Donors

    1. Ralph R. Vassallo
    2. Marjorie D. Bravo
    3. Larry J. Dumont
    4. Kelsey Hazegh
    5. Hany Kamel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Genetic variants mimicking therapeutic inhibition of IL-6 receptor signaling and risk of COVID-19

    1. Jonas Bovijn
    2. Cecilia M Lindgren
    3. Michael V Holmes

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Small molecules inhibit SARS-COV-2 induced aberrant inflammation and viral replication in mice by targeting S100A8/A9-TLR4 axis

    1. Qirui Guo
    2. Yingchi Zhao
    3. Junhong Li
    4. Jiangning Liu
    5. Xuefei Guo
    6. Zeming Zhang
    7. Lili Cao
    8. Yujie Luo
    9. Linlin Bao
    10. Xiao Wang
    11. Xuemei Wei
    12. Wei Deng
    13. Luoying Chen
    14. Hua Zhu
    15. Ran Gao
    16. Chuan Qin
    17. Xiangxi Wang
    18. Fuping You

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Learning as We Go: An Examination of the Statistical Accuracy of COVID19 Daily Death Count Predictions

    1. Roman Marchant
    2. Noelle I. Samia
    3. Ori Rosen
    4. Martin A. Tanner
    5. Sally Cripps

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 2089 of 2361 Older