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. Untangling the cell immune response dynamic for severe and critical cases of SARS-CoV-2 infection

    1. Rodolfo Blanco-Rodríguez
    2. Xin Du
    3. Esteban Hernández-Vargas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Antibody response to first and second dose of BNT162b2 in a cohort of characterized healthcare workers

    1. Andrea Padoan
    2. Luigi Dall'Olmo
    3. Foscarina della Rocca
    4. Francesco Barbaro
    5. Chiara Cosma
    6. Daniela Basso
    7. Annamaria Cattelan
    8. Vito Cianci
    9. Mario Plebani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Limited recovery from post-acute sequelae of SARS-CoV-2 at 8 months in a prospective cohort

    1. David Ross Darley
    2. Gregory John Dore
    3. Anthony Luke Byrne
    4. Marshall Lawrence Plit
    5. Bruce James Brew
    6. Anthony Kelleher
    7. Gail Veronica Matthews

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Mouthrinses and SARS-CoV-2 viral load in saliva: a living systematic review

    1. Akram Hernández-Vásquez
    2. Antonio Barrenechea-Pulache
    3. Daniel Comandé
    4. Diego Azañedo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Intranasal HD-Ad vaccine protects the upper and lower respiratory tracts of hACE2 mice against SARS-CoV-2

    1. Huibi Cao
    2. Juntao Mai
    3. Zhichang Zhou
    4. Zhijie Li
    5. Rongqi Duan
    6. Jacqueline Watt
    7. Ziyan Chen
    8. Ranmal Avinash Bandara
    9. Ming Li
    10. Sang Kyun Ahn
    11. Betty Poon
    12. Natasha Christie-Holmes
    13. Scott D. Gray-Owen
    14. Arinjay Banerjee
    15. Karen Mossman
    16. Rob Kozak
    17. Samira Mubareka
    18. James M. Rini
    19. Jim Hu
    20. Jun Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Why COVID-19 is not so spread in Africa: How does Ivermectin affect it?

    1. Hisaya Tanioka
    2. Sayaka Tanioka
    3. Kimitaka Kaga

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Interactions between SARS-CoV-2 N-Protein and α-Synuclein Accelerate Amyloid Formation

    1. Slav A. Semerdzhiev
    2. Mohammad A. A. Fakhree
    3. Ine Segers-Nolten
    4. Christian Blum
    5. Mireille M. A. E. Claessens

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Characteristics and impact of Long Covid: Findings from an online survey

    1. Nida Ziauddeen
    2. Deepti Gurdasani
    3. Margaret E. O’Hara
    4. Claire Hastie
    5. Paul Roderick
    6. Guiqing Yao
    7. Nisreen A. Alwan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A dynamical map to describe COVID-19 epidemics

    1. Eduardo V. M. dos Reis
    2. Marcelo A. Savi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Dry Swab Method of sample collection for SARS-CoV2 testing can be used for culturing virus

    1. Sushma Ram
    2. M. Ghalib Enayathullah
    3. Yash Parekh
    4. Karthik Bharadwaj Tallapaka
    5. Rakesh K Mishra
    6. Kiran Kumar Bokara

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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