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. Differentials in the characteristics of COVID-19 cases in Wave-1 and Wave-2 admitted to a network of hospitals in North India

    1. Sandeep Budhiraja
    2. Abhaya Indrayan
    3. Mona Aggarwal
    4. Vinita Jha
    5. Dinesh Jain
    6. Bansidhar Tarai
    7. Poonam Das
    8. Bharat Aggarwal
    9. RS Mishra
    10. Supriya Bali
    11. Monica Mahajan
    12. Vivek Nangia
    13. Ajay Lall
    14. Nevin Kishore
    15. Ashish Jain
    16. Omender Singh
    17. Namrita Singh
    18. Ashok Kumar
    19. Prashant Saxena
    20. Arun Dewan
    21. Ritesh Aggarwal
    22. Shailesh Sahay
    23. Rajiv Dang
    24. Neelima Mishra
    25. Mohit Mathur
    26. I. M. Chugh
    27. Pankaj Aneja
    28. Sanjay Dhall
    29. Vandana Boobna
    30. Vinit Arora
    31. Ajay Gupta
    32. Vijay Arora
    33. Mukesh Mehra
    34. Meenakshi Jain
    35. Vimal Nakra
    36. BD Sharma
    37. Praveen Pandey
    38. YP Singh
    39. Anil Vardani
    40. RK Singal
    41. Deepak Gargi Pandey
    42. Atul Bhasin
    43. Sandeep Nayyar
    44. Rajesh Pande
    45. Pankaj Chaudhary
    46. Ajay Kr Gupta
    47. Ashish Gupta
    48. Nitesh Tayal
    49. Puneet Gupta
    50. Manish Gupta
    51. Sumit Khetrapal
    52. Sachin Pandove
    53. Deepak Bhasin
    54. Devender Midha
    55. Harpal Singh
    56. Ambrish Dixit
    57. Vinay Sagar
    58. Vaibhav Chachra
    59. Bhupesh Uniyal
    60. Sanjay Saxena
    61. Amarjit Singh
    62. Shalini Sharma

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Lipid and Nucleocapsid N-Protein Accumulation in COVID-19 Patient Lung and Infected Cells

    1. Anita E. Grootemaat
    2. Sanne van der Niet
    3. Edwin R. Scholl
    4. Eva Roos
    5. Bernadette Schurink
    6. Marianna Bugiani
    7. Sara E. Miller
    8. Per Larsen
    9. Jeannette Pankras
    10. Eric A. Reits
    11. Nicole N. van der Wel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Japanese Project for Telepsychiatry Evaluation during COVID-19: Treatment Comparison Trial (J-PROTECT): Rationale, design, and methodology

    1. Taishiro Kishimoto
    2. Shotaro Kinoshita
    3. Shogyoku Bun
    4. Yasunori Sato
    5. Momoko Kitazawa
    6. Toshiaki Kikuchi
    7. Mitsuhiro Sado
    8. Akihiro Takamiya
    9. Masaru Mimura
    10. Takashi Nakamae
    11. Yoshinari Abe
    12. Tetsufumi Kanazawa
    13. Yasuo Kawabata
    14. Hiroaki Tomita
    15. Koichi Abe
    16. Akitoyo Hishimoto
    17. Takeshi Asami
    18. Akira Suda
    19. Yoshinori Watanabe
    20. Toru Amagai
    21. Kei Sakuma
    22. Hisashi Kida
    23. Michitaka Funayama
    24. Hiroshi Kimura
    25. Aiko Sato
    26. Shuichiro Fujiwara
    27. Kiichiro Nagao
    28. Naoya Sugiyama
    29. Maki Takamiya
    30. Hideyuki Kodama
    31. Takaharu Azekawa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Validation of The 4C Deterioration Model for COVID-19 in a UK Teaching Hospital During Wave 2

    1. Sarah L. Cowan
    2. Martin Wiegand
    3. Jacobus Preller
    4. Robert J.B. Goudie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Seroconversion panels demonstrate anti-SARS-CoV-2 antibody development after administration of the mRNA-1273 vaccine

    1. Francisco Belda
    2. Oscar Mora
    3. Monica Lopez Martinez
    4. Nerea Torres
    5. Ana Vivanco
    6. Rebecca Christie
    7. Michael Crowley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Recovery From COVID-19 in Multiple Sclerosis

    1. Afagh Garjani
    2. Rodden M. Middleton
    3. Richard Nicholas
    4. Nikos Evangelou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A Continuous Bayesian Model for the Stimulation COVID-19 Epidemic Dynamics

    1. Zhaobin Xu
    2. Hongmei Zhang
    3. Yonggang Niu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Molecular Analysis of SARS-CoV-2 Lineages in Armenia

    1. Diana Avetyan
    2. Siras Hakobyan
    3. Maria Nikoghosyan
    4. Lilit Ghukasyan
    5. Gisane Khachatryan
    6. Tamara Sirunyan
    7. Nelli Muradyan
    8. Roksana Zakharyan
    9. Andranik Chavushyan
    10. Varduhi Hayrapetyan
    11. Anahit Hovhannisyan
    12. Shah A. Mohamed Bakhash
    13. Keith R. Jerome
    14. Pavitra Roychoudhury
    15. Alexander L. Greninger
    16. Lyudmila Niazyan
    17. Mher Davidyants
    18. Gayane Melik-Andreasyan
    19. Shushan Sargsyan
    20. Lilit Nersisyan
    21. Arsen Arakelyan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Thrombocytopenia and splenic platelet-directed immune responses after IV ChAdOx1 nCov-19 administration

    1. Leo Nicolai
    2. Alexander Leunig
    3. Kami Pekayvaz
    4. Max Esefeld
    5. Afra Anjum
    6. Justina Rath
    7. Eva Riedlinger
    8. Vincent Ehreiser
    9. Magdalena Mader
    10. Luke Eivers
    11. Marie-Louise Hoffknecht
    12. Zhe Zhang
    13. Daniela Kugelmann
    14. Dario Rossaro
    15. Raphael Escaig
    16. Rainer Kaiser
    17. Vivien Polewka
    18. Anna Titova
    19. Tobias Petzold
    20. Karsten Spiekermann
    21. Matteo Iannacone
    22. Thomas Thiele
    23. Andreas Greinacher
    24. Konstantin Stark
    25. Steffen Massberg

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Tocilizumab in COVID-19 – A Bayesian reanalysis of RECOVERY

    1. Arthur M. Albuquerque
    2. Lucas Tramujas
    3. Lorenzo R. Sewanan
    4. James M. Brophy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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