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. Global analysis of protein-RNA interactions in SARS-CoV-2-infected cells reveals key regulators of infection

    1. Wael Kamel
    2. Marko Noerenberg
    3. Berati Cerikan
    4. Honglin Chen
    5. Aino I. Järvelin
    6. Mohamed Kammoun
    7. Jeffrey Y. Lee
    8. Ni Shuai
    9. Manuel Garcia-Moreno
    10. Anna Andrejeva
    11. Michael J. Deery
    12. Natasha Johnson
    13. Christopher J. Neufeldt
    14. Mirko Cortese
    15. Michael L. Knight
    16. Kathryn S. Lilley
    17. Javier Martinez
    18. Ilan Davis
    19. Ralf Bartenschlager
    20. Shabaz Mohammed
    21. Alfredo Castello

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Evaluating the efficacy of RT-qPCR SARS-CoV-2 direct approaches in comparison to RNA extraction

    1. Ofir Israeli
    2. Adi Beth-Din
    3. Nir Paran
    4. Dana Stein
    5. Shirley Lazar
    6. Shay Weiss
    7. Elad Milrot
    8. Yafit Atiya-Nasagi
    9. Shmuel Yitzhaki
    10. Orly Laskar
    11. Ofir Schuster

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Intranasal type I interferon treatment is beneficial only when administered before clinical signs onset in the SARS-CoV-2 hamster model

    1. Pierre Bessière
    2. Marine Wasniewski
    3. Evelyne Picard-Meyer
    4. Alexandre Servat
    5. Thomas Figueroa
    6. Charlotte Foret-Lucas
    7. Amelia Coggon
    8. Sandrine Lesellier
    9. Frank Boué
    10. Nathan Cebron
    11. Blandine Gausserès
    12. Catherine Trumel
    13. Gilles Foucras
    14. Francisco J. Salguero
    15. Elodie Monchatre-Leroy
    16. Romain Volmer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Maturation signatures of conventional dendritic cell subtypes in COVID‐19 suggest direct viral sensing

    1. Laura Marongiu
    2. Giulia Protti
    3. Fabio A. Facchini
    4. Mihai Valache
    5. Francesca Mingozzi
    6. Valeria Ranzani
    7. Anna Rita Putignano
    8. Lorenzo Salviati
    9. Valeria Bevilacqua
    10. Serena Curti
    11. Mariacristina Crosti
    12. Maria Lucia Sarnicola
    13. Mariella D'Angiò
    14. Laura Rachele Bettini
    15. Andrea Biondi
    16. Luca Nespoli
    17. Nicolò Tamini
    18. Nicola Clementi
    19. Nicasio Mancini
    20. Sergio Abrignani
    21. Roberto Spreafico
    22. Francesca Granucci

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Ultrastructural insight into SARS-CoV-2 attachment, entry and budding in human airway epithelium

    1. Andreia L Pinto
    2. Ranjit K Rai
    3. Jonathan C Brown
    4. Paul Griffin
    5. James R Edgar
    6. Anand Shah
    7. Aran Singanayagam
    8. Claire Hogg
    9. Wendy S Barclay
    10. Clare E Futter
    11. Thomas Burgoyne

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Effectiveness of CoronaVac among healthcare workers in the setting of high SARS-CoV-2 Gamma variant transmission in Manaus, Brazil: A test-negative case-control study

    1. Matt D.T. Hitchings
    2. Otavio T. Ranzani
    3. Mario Sergio Scaramuzzini Torres
    4. Silvano Barbosa de Oliveira
    5. Maria Almiron
    6. Rodrigo Said
    7. Ryan Borg
    8. Wade L. Schulz
    9. Roberto Dias de Oliveira
    10. Patricia Vieira da Silva
    11. Daniel Barros de Castro
    12. Vanderson de Souza Sampaio
    13. Bernardino Cláudio de Albuquerque
    14. Tatyana Costa Amorim Ramos
    15. Shadia Hussami Hauache Fraxe
    16. Cristiano Fernandes da Costa
    17. Felipe Gomes Naveca
    18. Andre M. Siqueira
    19. Wildo Navegantes de Araújo
    20. Jason R. Andrews
    21. Derek A.T. Cummings
    22. Albert I. Ko
    23. Julio Croda

    Reviewed by Rapid Reviews Infectious Diseases, NCRC, ScreenIT

    4 evaluationsAppears in 3 listsLatest version Latest activity

  7. Frequency of Neurologic Manifestations in COVID-19

    1. Shubham Misra
    2. Kavitha Kolappa
    3. Manya Prasad
    4. Divya Radhakrishnan
    5. Kiran T. Thakur
    6. Tom Solomon
    7. Benedict Daniel Michael
    8. Andrea Sylvia Winkler
    9. Ettore Beghi
    10. Alla Guekht
    11. Carlos A. Pardo
    12. Greta Karen Wood
    13. Sherry Hsiang-Yi Chou
    14. Ericka L. Fink
    15. Erich Schmutzhard
    16. Amir Kheradmand
    17. Fan Kee Hoo
    18. Amit Kumar
    19. Animesh Das
    20. Achal K. Srivastava
    21. Ayush Agarwal
    22. Tarun Dua
    23. Kameshwar Prasad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Large university with high COVID-19 incidence is not associated with excess cases in non-student population

    1. Nita Bharti
    2. Brian Lambert
    3. Cara Exten
    4. Christina Faust
    5. Matthew Ferrari
    6. Anthony Robinson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Effect of natural mutations of SARS-CoV-2 on spike structure, conformation, and antigenicity

    1. Sophie M.-C. Gobeil
    2. Katarzyna Janowska
    3. Shana McDowell
    4. Katayoun Mansouri
    5. Robert Parks
    6. Victoria Stalls
    7. Megan F. Kopp
    8. Kartik Manne
    9. Dapeng Li
    10. Kevin Wiehe
    11. Kevin O. Saunders
    12. Robert J. Edwards
    13. Bette Korber
    14. Barton F. Haynes
    15. Rory Henderson
    16. Priyamvada Acharya

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Using Machine Learning along with Data Science algorithms to pre-process and forecast COVID-19 Cases and Deaths

    1. Avi Choudhary

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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