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. Factors associated with disease severity and mortality among patients with COVID-19: A systematic review and meta-analysis

    1. Vignesh Chidambaram
    2. Nyan Lynn Tun
    3. Waqas Z. Haque
    4. Marie Gilbert Majella
    5. Ranjith Kumar Sivakumar
    6. Amudha Kumar
    7. Angela Ting-Wei Hsu
    8. Izza A. Ishak
    9. Aqsha A. Nur
    10. Samuel K. Ayeh
    11. Emmanuella L. Salia
    12. Ahsan Zil-E-Ali
    13. Muhammad A. Saeed
    14. Ayu P. B. Sarena
    15. Bhavna Seth
    16. Muzzammil Ahmadzada
    17. Eman F. Haque
    18. Pranita Neupane
    19. Kuang-Heng Wang
    20. Tzu-Miao Pu
    21. Syed M. H. Ali
    22. Muhammad A. Arshad
    23. Lin Wang
    24. Sheriza Baksh
    25. Petros C. Karakousis
    26. Panagis Galiatsatos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Hydroxychloroquine with or without azithromycin and in-hospital mortality or discharge in patients hospitalized for COVID-19 infection: a cohort study of 4,642 in-patients in France

    1. Emilie Sbidian
    2. Julie Josse
    3. Guillaume Lemaitre
    4. Imke Meyer
    5. Mélodie Bernaux
    6. Alexandre Gramfort
    7. Nathanaël Lapidus
    8. Nicolas Paris
    9. Antoine Neuraz
    10. Ivan Lerner
    11. Nicolas Garcelon
    12. Bastien Rance
    13. Olivier Grisel
    14. Thomas Moreau
    15. Ali Bellamine
    16. Pierre Wolkenstein
    17. Gaël Varoquaux
    18. Eric Caumes
    19. Marc Lavielle
    20. Armand Mekontso Dessap
    21. Etienne Audureau
    22. AP-HP Covid CDR Initiative and ‘Entrepôt de Données de Santé’ AP-HP consortium

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Lipid droplets fuel SARS-CoV-2 replication and production of inflammatory mediators

    1. Suelen da Silva Gomes Dias
    2. Vinicius Cardoso Soares
    3. André C. Ferreira
    4. Carolina Q. Sacramento
    5. Natalia Fintelman-Rodrigues
    6. Jairo R. Temerozo
    7. Lívia Teixeira
    8. Ester Barreto
    9. Mayara Mattos
    10. Caroline S. de Freitas
    11. Isaclaudia G. Azevedo-Quintanilha
    12. Pedro Paulo A. Manso
    13. Eugenio D. Hottz
    14. Camila R. R. Pão
    15. Dumith C. Bou-Habib
    16. Fernando A. Bozza
    17. Thiago M. L. Souza
    18. Patrícia T. Bozza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SIDIR: Extending SIR with Detected and Isolated Populations for Pandemic Modeling

    1. Joe Garman
    2. Sean MacAvaney
    3. Eugene Yang
    4. Ophir Frieder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Evaluating the impacts of relaxation and mutation in the SARS-CoV-2 on the COVID-19 epidemic based on a mathematical model: a case study of São Paulo State (Brazil)

    1. Hyun Mo Yang
    2. Luis Pedro Lombardi Junior
    3. Fabio Fernandes Morato Castro
    4. Ariana Campos Yang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19 Aerosolized Viral Loads, Environment, Ventilation, Masks, Exposure Time, Severity, And Immune Response: A Pragmatic Guide Of Estimates

    1. David E. Epperly
    2. Kristopher R. Rinehart
    3. David N. Caney

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Differential T-Cell Reactivity to Endemic Coronaviruses and SARS-CoV-2 in Community and Health Care Workers

    1. Ricardo da Silva Antunes
    2. Suresh Pallikkuth
    3. Erin Williams
    4. Esther Dawen Yu
    5. Jose Mateus
    6. Lorenzo Quiambao
    7. Eric Wang
    8. Stephen A Rawlings
    9. Daniel Stadlbauer
    10. Kaijun Jiang
    11. Fatima Amanat
    12. David Arnold
    13. David Andrews
    14. Irma Fuego
    15. Jennifer M Dan
    16. Alba Grifoni
    17. Daniela Weiskopf
    18. Florian Krammer
    19. Shane Crotty
    20. Michael E Hoffer
    21. Savita G Pahwa
    22. Alessandro Sette

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A key linear epitope for a potent neutralizing antibody to SARS-CoV-2 S-RBD

    1. Tingting Li
    2. Xiaojian Han
    3. Yingming Wang
    4. Chenjian Gu
    5. Jianwei Wang
    6. Chao Hu
    7. Shenglong Li
    8. Kai Wang
    9. Feiyang Luo
    10. Jingjing Huang
    11. Yingyi Long
    12. Shuyi Song
    13. Wang Wang
    14. Jie Hu
    15. Ruixin Wu
    16. Song Mu
    17. Yanan Hao
    18. Qian Chen
    19. Fengxia Gao
    20. Meiying Shen
    21. Shunhua Long
    22. Fang Gong
    23. Luo Li
    24. Yang Wu
    25. Wei Xu
    26. Xia Cai
    27. Di Qu
    28. Zhenghong Yuan
    29. Qingzhu Gao
    30. Guiji Zhang
    31. Changlong He
    32. Yaru Nai
    33. Kun Deng
    34. Li Du
    35. Ni Tang
    36. Youhua Xie
    37. Ailong Huang
    38. Aishun Jin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19 vaccine hesitancy and resistance: Correlates in a nationally representative longitudinal survey of the Australian population

    1. Ben Edwards
    2. Nicholas Biddle
    3. Matthew Gray
    4. Kate Sollis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Thermal Effect On The Persistence Of SARS-CoV2 Egyptian Isolates As Measured By Quantitative RT-PCR

    1. M.G. Seadawy
    2. A.F. Gad
    3. M.F. Elhoseny
    4. B. ELharty
    5. M.S. EL Desoky
    6. Y.A. Soliman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1341 of 2361 Older