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. Coding long COVID: characterizing a new disease through an ICD-10 lens

    1. Emily R. Pfaff
    2. Charisse Madlock-Brown
    3. John M. Baratta
    4. Abhishek Bhatia
    5. Hannah Davis
    6. Andrew Girvin
    7. Elaine Hill
    8. Elizabeth Kelly
    9. Kristin Kostka
    10. Johanna Loomba
    11. Julie A. McMurry
    12. Rachel Wong
    13. Tellen D. Bennett
    14. Richard Moffitt
    15. Christopher G. Chute
    16. Melissa Haendel
    17. The N3C Consortium
    18. The RECOVER Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Broadly neutralizing antibodies against Omicron variants of SARS-CoV-2 derived from mRNA-lipid nanoparticle-immunized mice

    1. Ruei-Min Lu
    2. Kang-Hao Liang
    3. Hsiao-Ling Chiang
    4. Fu-Fei Hsu
    5. Hsiu-Ting Lin
    6. Wan-Yu Chen
    7. Feng-Yi Ke
    8. Monika Kumari
    9. Yu-Chi Chou
    10. Mi-Hua Tao
    11. Yi-Ling Lin
    12. Han-Chung Wu

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  3. Changes of LipoxinA 4 Levels Following Early Hospital Management of Patients with Non-Severe COVID-19: A Pilot Study

    1. Farzaneh Jamali
    2. Bita Shahrami
    3. Amirmahdi Mojtahedzadeh
    4. Farhad Najmeddin
    5. Amir Ahmad Arabzadeh
    6. Azar Hadadi
    7. Mohammad Sharifzadeh
    8. Mojtaba Mojtahedzadeh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Predictors of COVID-19 vaccine uptake: An online longitudinal study of US Veterans and non-Veterans

    1. Alistair Thorpe
    2. Angela Fagerlin
    3. Frank A. Drews
    4. Holly Shoemaker
    5. Federica S. Brecha
    6. Laura D. Scherer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Similar viral loads in Omicron infections regardless of vaccination status

    1. Yosuke Hirotsu
    2. Makoto Maejima
    3. Masahiro Shibusawa
    4. Yume Natori
    5. Yuki Nagakubo
    6. Kazuhiro Hosaka
    7. Hitomi Sueki
    8. Hitoshi Mochizuki
    9. Toshiharu Tsutsui
    10. Yumiko Kakizaki
    11. Yoshihiro Miyashita
    12. Masao Omata

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A Cross-Sectional Analysis of Community Perceptions of Flu and COVID-19 Vaccines at Turtle Creek Primary Care Center

    1. Anjana Murali
    2. Jorna Sojati
    3. Marina Levochkina
    4. Catherine Pressimone
    5. Kobi Griffith
    6. Erica Fan
    7. Allie Dakroub

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. BCG vaccination of Diversity Outbred mice induces cross-reactive antibodies to SARS-CoV-2 spike protein

    1. Aubrey G. Specht
    2. Sherry L. Kurtz
    3. Karen L. Elkins
    4. Harrison Specht
    5. Gillian Beamer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. An intranasal nanoparticle STING agonist protects against respiratory viruses in animal models

    1. Ankita Leekha
    2. Arash Saeedi
    3. Monish Kumar
    4. K. M. Samiur Rahman Sefat
    5. Melisa Martinez-Paniagua
    6. Hui Meng
    7. Mohsen Fathi
    8. Rohan Kulkarni
    9. Kate Reichel
    10. Sujit Biswas
    11. Daphne Tsitoura
    12. Xinli Liu
    13. Laurence J. N. Cooper
    14. Courtney M. Sands
    15. Vallabh E. Das
    16. Manu Sebastian
    17. Brett L. Hurst
    18. Navin Varadarajan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The Dawn is Coming —— the Description and Prediction of Omicron SARSCoV-2 Epidemic Outbreak in Shanghai by Mathematical Modeling

    1. Minghao Jiang
    2. Guoyu Meng
    3. Geng Wu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Uncovering the structural flexibility of SARS-CoV-2 glycoprotein spike variants

    1. Hiam R. S. Arruda
    2. Tulio M. Lima
    3. Renata G. F. Alvim
    4. Fernanda B. A. Victorio
    5. Daniel P. B. Abreu
    6. Federico F. Marsili
    7. Karen D. Cruz
    8. Patricia Sosa-Acosta
    9. Mauricio Quinones-Vega
    10. Jéssica de S. Guedes
    11. Fábio C. S. Nogueira
    12. Jerson L. Silva
    13. Leda R. Castilho
    14. Guilherme A. P. de Oliveira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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