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. Execution of intervention matters more than strategy: A lesson from the spatiotemporal assessment of COVID-19 clusters in Nepal

    1. Bipin Kumar Acharya
    2. Laxman Khanal
    3. Alnwisi Sameh Mansoor Mahyoub
    4. Zengliang Ruan
    5. Yin Yang
    6. Samir Kumar Adhikari
    7. Shreejana Pandit
    8. Basanta Kumar Neupane
    9. Binod Kumar Paudel
    10. Hualiang Lin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Acute Lung injury evolution in Covid-19

    1. Doglioni Claudio
    2. Ravaglia Claudia
    3. Rossi Giulio
    4. Dubini Alessandra
    5. Pedica Federica
    6. Piciucchi Sara
    7. Vizzuso Antonio
    8. Pecciarini Lorenza
    9. Stella Franco
    10. Maitan Stefano
    11. Agnoletti Vanni
    12. Gamberini Emiliano
    13. Russo Emanuele
    14. Puglisi Silvia
    15. Arcadu Antonella
    16. Donati Luca
    17. Di Cesare Simona
    18. Grosso Carmela
    19. Poletti Giovanni
    20. Sambri Vittorio
    21. Fabbri D Elisabetta
    22. Pizzolo Giovanni
    23. Ugel Stefano
    24. Bronte Vincenzo
    25. Wells U Athol
    26. Chilosi Marco
    27. Poletti Venerino

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Association Between Sampling Method and Covid-19 Test Positivity Among Undergraduate Students: Testing Friendship Paradox in Covid-19 Network of Transmission

    1. Sina Kianersi
    2. Yong-Yeol Ahn
    3. Molly Rosenberg

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Reproducibility and sensitivity of 36 methods to quantify the SARS-CoV-2 genetic signal in raw wastewater: findings from an interlaboratory methods evaluation in the U.S.

    1. Brian M. Pecson
    2. Emily Darby
    3. Charles N. Haas
    4. Yamrot M. Amha
    5. Mitchel Bartolo
    6. Richard Danielson
    7. Yeggie Dearborn
    8. George Di Giovanni
    9. Christobel Ferguson
    10. Stephanie Fevig
    11. Erica Gaddis
    12. Donald Gray
    13. George Lukasik
    14. Bonnie Mull
    15. Liana Olivas
    16. Adam Olivieri
    17. Yan Qu
    18. SARS-CoV-2 Interlaboratory Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore

    1. John R Tyson
    2. Phillip James
    3. David Stoddart
    4. Natalie Sparks
    5. Arthur Wickenhagen
    6. Grant Hall
    7. Ji Hyun Choi
    8. Hope Lapointe
    9. Kimia Kamelian
    10. Andrew D Smith
    11. Natalie Prystajecky
    12. Ian Goodfellow
    13. Sam J Wilson
    14. Richard Harrigan
    15. Terrance P Snutch
    16. Nicholas J Loman
    17. Joshua Quick

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A mass spectrometry-based targeted assay for detection of SARS-CoV-2 antigen from clinical specimens

    1. Santosh Renuse
    2. Patrick M. Vanderboom
    3. Anthony D. Maus
    4. Jennifer V. Kemp
    5. Kari M. Gurtner
    6. Anil K. Madugundu
    7. Sandip Chavan
    8. Jane A. Peterson
    9. Benjamin J. Madden
    10. Kiran K. Mangalaparthi
    11. Dong-Gi Mun
    12. Smrita Singh
    13. Benjamin R. Kipp
    14. Surendra Dasari
    15. Ravinder J. Singh
    16. Stefan K. Grebe
    17. Akhilesh Pandey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Serum neopterin levels in relation to mild and severe COVID-19

    1. Josefina Robertson
    2. Johanna M. Gostner
    3. Staffan Nilsson
    4. Lars-Magnus Andersson
    5. Dietmar Fuchs
    6. Magnus Gisslen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-CoV-2 viral-load distribution reveals that viral loads increase with age: a retrospective cross-sectional cohort study

    1. Sjoerd Euser
    2. Sem Aronson
    3. Irene Manders
    4. Steven van Lelyveld
    5. Bjorn Herpers
    6. Jan Sinnige
    7. Jayant Kalpoe
    8. Claudia van Gemeren
    9. Dominic Snijders
    10. Ruud Jansen
    11. Sophie Schuurmans Stekhoven
    12. Marlies van Houten
    13. Ivar Lede
    14. James Cohen Stuart
    15. Fred Slijkerman Megelink
    16. Erik Kapteijns
    17. Jeroen den Boer
    18. Elisabeth Sanders
    19. Alex Wagemakers
    20. Dennis Souverein

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Degradation of SARS-CoV-2 receptor ACE2 by tobacco carcinogen-induced Skp2 in lung epithelial cells

    1. Gui-Zhen Wang
    2. Qun Zhao
    3. Fan Liang
    4. Chen Zhang
    5. Hui Zhang
    6. Jun Wang
    7. Zhen-Yin Chen
    8. Ran Wu
    9. Hong Yu
    10. Bei-Bei Sun
    11. Hua Guo
    12. Ruie Feng
    13. Kai-Feng Xu
    14. Guang-Biao Zhou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Scientific publications and COVID-19 “research pivots” during the pandemic: An initial bibliometric analysis

    1. Philip Shapira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1380 of 2361 Older