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. Reducing COVID-19 quarantine with SARS-CoV-2 testing: a simulation study

    1. Bo Peng
    2. Wen Zhou
    3. Rowland W Pettit
    4. Patrick Yu
    5. Peter G Matos
    6. Alexander L Greninger
    7. Julie McCashin
    8. Christopher I Amos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Comparison and impact of COVID-19 for patients with cancer: a survival analysis of fatality rate controlling for age, sex and cancer type

    1. Haiquan Li
    2. Edwin Baldwin
    3. Xiang Zhang
    4. Colleen Kenost
    5. Wenting Luo
    6. Elizabeth A Calhoun
    7. Lingling An
    8. Charles L Bennett
    9. Yves A Lussier

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Application of a Generalized SEIR Model for COVID-19 in Algeria

    1. Mohamed Lounis
    2. Juarez dos Santos Azevedo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The impact of COVID ‐19 lockdown on children's and adolescents' mental health in Greece

    1. Konstantina Magklara
    2. Helen Lazaratou
    3. Anastasia Barbouni
    4. Konstantinos Poulas
    5. Konstantinos Farsalinos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Clinical characteristics of critically ill patients with COVID-19

    1. Indalecio Carboni Bisso
    2. Iván Huespe
    3. Carolina Lockhart
    4. Agustín Massó
    5. Julieta González Anaya
    6. Micaela Hornos
    7. Romina Famiglietti
    8. Marcelo Di Grazia
    9. Pablo Coria
    10. Eduardo San Román
    11. Marcos Las Heras

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19 control strategies and intervention effects in resource limited settings: A modeling study

    1. Kiran Raj Pandey
    2. Anup Subedee
    3. Bishesh Khanal
    4. Bhagawan Koirala

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Treatment of moderate to severe respiratory COVID-19: a cost-utility analysis

    1. Stephen E. Congly
    2. Rhea A. Varughese
    3. Crystal E. Brown
    4. Fiona M. Clement
    5. Lynora Saxinger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-CoV-2 screening: effectiveness and risk of increasing transmission

    1. Jordan P. Skittrall

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. KIM-1/TIM-1 is a Receptor for SARS-CoV-2 in Lung and Kidney

    1. Yutaro Mori
    2. Corby Fink
    3. Takaharu Ichimura
    4. Keisuke Sako
    5. Makiko Mori
    6. Nathan N. Lee
    7. Philipp Aschauer
    8. Krishna M. Padmanabha Das
    9. SoonGweon Hong
    10. Minsun Song
    11. Robert F. Padera
    12. Astrid Weins
    13. Luke P. Lee
    14. Mahmoud L. Nasr
    15. Gregory A. Dekaban
    16. Jimmy D. Dikeakos
    17. Joseph V. Bonventre

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. SARS-CoV-2 viral load predicts COVID-19 mortality

    1. Elisabet Pujadas
    2. Fayzan Chaudhry
    3. Russell McBride
    4. Felix Richter
    5. Shan Zhao
    6. Ania Wajnberg
    7. Girish Nadkarni
    8. Benjamin S Glicksberg
    9. Jane Houldsworth
    10. Carlos Cordon-Cardo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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