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. Which Measures are Effective in Containing COVID-19? — Empirical Research Based on Prevention and Control Cases in China

    1. Shanlang Lin
    2. Junpei Huang
    3. Ziwen He
    4. Dandan Zhan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Clinical characteristics of recovered COVID-19 patients with re-detectable positive RNA test

    1. Jianghong An
    2. Xuejiao Liao
    3. Tongyang Xiao
    4. Shen Qian
    5. Jing Yuan
    6. Haocheng Ye
    7. Furong Qi
    8. Chengguang Shen
    9. Lifei Wang
    10. Yang Liu
    11. Xiaoya Cheng
    12. Na Li
    13. Qingxian Cai
    14. Fang Wang
    15. Jun Chen
    16. Guojun Li
    17. Qiu’e Cai
    18. Yingxia Liu
    19. Yunfang Wang
    20. Feng Zhang
    21. Yang Fu
    22. Qing He
    23. Xiaohua Tan
    24. Lei Liu
    25. Zheng Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Risk assessment of progression to severe conditions for patients with COVID-19 pneumonia: a single-center retrospective study

    1. Lijiao Zeng
    2. Jialu Li
    3. Mingfeng Liao
    4. Rui Hua
    5. Pilai Huang
    6. Mingxia Zhang
    7. Youlong Zhang
    8. Qinlang Shi
    9. Zhaohua Xia
    10. Xinzhong Ning
    11. Dandan Liu
    12. Jiu Mo
    13. Ziyuan Zhou
    14. Zigang Li
    15. Yu Fu
    16. Yuhui Liao
    17. Jing Yuan
    18. Lifei Wang
    19. Qing He
    20. Lei Liu
    21. Kun Qiao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Clinical and Paraclinical Characteristics of COVID-19 patients: A Systematic Review and Meta-Analysis

    1. Keyvan Heydari
    2. Parisa Lotfi
    3. Nima Shadmehri
    4. Mohammad Yousefi
    5. Maedeh Raei
    6. Pouya Houshmand
    7. Mohammad Zahedi
    8. Reza Alizadeh-Navaei
    9. Sahar Bathaeian
    10. Sahar Rismantab

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Understand research hotspots surrounding COVID-19 and other coronavirus infections using topic modeling

    1. Mengying Dong
    2. Xiaojun Cao
    3. Mingbiao Liang
    4. Lijuan Li
    5. Guangjian Liu
    6. Huiying Liang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Doubling time tells how effective Covid-19 prevention works

    1. Byung Mook Weon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Extrapolation of Infection Data for the CoVid-19 Virus and Estimate of the Pandemic Time Scale

    1. Walter Langel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Reduced numbers of T cells and B cells correlates with persistent SARS-CoV-2 presence in non-severe COVID-19 patients

    1. Bing Liu
    2. Junyan Han
    3. Xiaohuan Cheng
    4. Long Yu
    5. Li Zhang
    6. Wei Wang
    7. Lan Ni
    8. Chaojie Wei
    9. Yafei Huang
    10. Zhenshun Cheng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Clinical characteristics associated with COVID-19 severity in California

    1. Samuel J. S. Rubin
    2. Samuel R. Falkson
    3. Nicholas R. Degner
    4. Catherine Blish

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Genomic surveillance reveals multiple introductions of SARS-CoV-2 into Northern California

    1. Xianding Deng
    2. Wei Gu
    3. Scot Federman
    4. Louis du Plessis
    5. Oliver G. Pybus
    6. Nuno R. Faria
    7. Candace Wang
    8. Guixia Yu
    9. Brian Bushnell
    10. Chao-Yang Pan
    11. Hugo Guevara
    12. Alicia Sotomayor-Gonzalez
    13. Kelsey Zorn
    14. Allan Gopez
    15. Venice Servellita
    16. Elaine Hsu
    17. Steve Miller
    18. Trevor Bedford
    19. Alexander L. Greninger
    20. Pavitra Roychoudhury
    21. Lea M. Starita
    22. Michael Famulare
    23. Helen Y. Chu
    24. Jay Shendure
    25. Keith R. Jerome
    26. Catie Anderson
    27. Karthik Gangavarapu
    28. Mark Zeller
    29. Emily Spencer
    30. Kristian G. Andersen
    31. Duncan MacCannell
    32. Clinton R. Paden
    33. Yan Li
    34. Jing Zhang
    35. Suxiang Tong
    36. Gregory Armstrong
    37. Scott Morrow
    38. Matthew Willis
    39. Bela T. Matyas
    40. Sundari Mase
    41. Olivia Kasirye
    42. Maggie Park
    43. Godfred Masinde
    44. Curtis Chan
    45. Alexander T. Yu
    46. Shua J. Chai
    47. Elsa Villarino
    48. Brandon Bonin
    49. Debra A. Wadford
    50. Charles Y. Chiu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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