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. Possible Role of Accessory Proteins in the Viral Replication for the 20I/501Y.V1 (B.1.1.7) SARS CoV-2 Variant

    1. Dimpal A. Nyayanit
    2. Prasad Sarkale
    3. Anita Shete-Aich
    4. Abhinendra Kumar
    5. Savita Patil
    6. Triparna Majumdar
    7. Shrikant Baradkar
    8. Pranita Gawande
    9. Sreelekshmy Mohandas
    10. Pragya D Yadav

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Association of Obesity with COVID-19 Severity and Mortality: A Systemic Review and Meta-Regression

    1. Romil Singh
    2. Sawai Singh Rathore
    3. Hira Khan
    4. Smruti Karale
    5. Abhishek Bhurwal
    6. Aysun Tekin
    7. Nirpeksh Jain
    8. Ishita Mehra
    9. Sohini Anand
    10. Sanjana Reddy
    11. Guneet Singh Sidhu
    12. Anastasios Panagopoulos
    13. Vishwanath Pattan
    14. Rahul Kashyap
    15. Vikas Bansal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The impact of BNT162b2 mRNA vaccine on adaptive and innate immune responses

    1. Konstantin Föhse
    2. Büsra Geckin
    3. Martijn Zoodsma
    4. Gizem Kilic
    5. Zhaoli Liu
    6. Rutger J. Röring
    7. Gijs J. Overheul
    8. Josephine van de Maat
    9. Ozlem Bulut
    10. Jacobien J. Hoogerwerf
    11. Jaap ten Oever
    12. Elles Simonetti
    13. Heiner Schaal
    14. Ortwin Adams
    15. Lisa Müller
    16. Philipp Niklas Ostermann
    17. Frank L. van de Veerdonk
    18. Leo A.B. Joosten
    19. Bart L. Haagmans
    20. Reinout van Crevel
    21. Ronald P. van Rij
    22. Corine GeurtsvanKessel
    23. Marien I. de Jonge
    24. Yang Li
    25. Jorge Domínguez-Andrés
    26. Mihai G. Netea

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Detection of SARS-CoV-2 Infection in Gargle, Spit, and Sputum Specimens

    1. Eero Poukka
    2. Henna Mäkelä
    3. Lotta Hagberg
    4. Thuan Vo
    5. Hanna Nohynek
    6. Niina Ikonen
    7. Kirsi Liitsola
    8. Otto Helve
    9. Carita Savolainen-Kopra
    10. Timothée Dub

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Contribution of the elevated thrombosis risk of males to the excess male mortality observed in COVID-19: an observational study

    1. Kenneth Roy Cohen
    2. David Anderson
    3. Sheng Ren
    4. David J Cook

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19: Affect recognition through voice analysis during the winter lockdown in Scotland

    1. Sofia de la Fuente Garcia
    2. Fasih Haider
    3. Saturnino Luz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Infection and vaccine-induced neutralizing antibody responses to the SARS-CoV-2 B.1.617.1 variant

    1. Venkata-Viswanadh Edara
    2. Lilin Lai
    3. Malaya K. Sahoo
    4. Katharine Floyd
    5. Mamdouh Sibai
    6. Daniel Solis
    7. Maria W. Flowers
    8. Laila Hussaini
    9. Caroline Rose Ciric
    10. Sarah Bechnack
    11. Kathy Stephens
    12. Elham Bayat Mokhtari
    13. Prakriti Mudvari
    14. Adrian Creanga
    15. Amarendra Pegu
    16. Alexandrine Derrien-Colemyn
    17. Amy R. Henry
    18. Matthew Gagne
    19. Barney S. Graham
    20. Jens Wrammert
    21. Daniel C. Douek
    22. Eli Boritz
    23. Benjamin A. Pinsky
    24. Mehul S. Suthar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Intentional and unintentional non-adherence to social distancing measures during COVID-19: A mixed-methods analysis

    1. Yolanda Eraso
    2. Stephen Hills

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Analysis and visualization of epidemics on the timescale of burden: derivation and application of Epidemic Resistance Lines (ERLs) to COVID-19 outbreaks in the US

    1. Alex Washburne
    2. Justin Silverman
    3. Jose Lourenco
    4. Nathaniel Hupert

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Mouse-adapted SARS-CoV-2 protects animals from lethal SARS-CoV challenge

    1. Antonio Muruato
    2. Michelle N. Vu
    3. Bryan A. Johnson
    4. Meredith E. Davis-Gardner
    5. Abigail Vanderheiden
    6. Kumari Lokugamage
    7. Craig Schindewolf
    8. Patricia A. Crocquet-Valdes
    9. Rose M. Langsjoen
    10. Jessica A. Plante
    11. Kenneth S. Plante
    12. Scott C. Weaver
    13. Kari Debbink
    14. Andrew L. Routh
    15. David Walker
    16. Mehul S. Suthar
    17. Pei-Yong Shi
    18. Xuping Xie
    19. Vineet D. Menachery

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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