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. The Impact of Host-Based Early Warning on Disease Outbreaks

    1. Mark A. Hernandez
    2. Lauren E. Milechin
    3. Shakti K. Davis
    4. Richard A. DeLaura
    5. Kajal T. Claypool
    6. Albert J. Swiston

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The prevalence and influencing factors for anxiety in medical workers fighting COVID-19 in China: A cross-sectional survey

    1. Chen-Yun Liu
    2. Yun-zhi Yang
    3. Xiao-Ming Zhang
    4. Xinying Xu
    5. Qing-Li Dou
    6. Wen-Wu Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Role of temperature and humidity in the modulation of the doubling time of COVID-19 cases

    1. B Oliveiros
    2. L Caramelo
    3. N C Ferreira
    4. F Caramelo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Emotional responses and coping strategies in nurses and nursing students during Covid-19 outbreak: A comparative study

    1. Long Huang
    2. Wansheng Lei
    3. Fuming Xu
    4. Hairong Liu
    5. Liang Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Transmission of corona virus disease 2019 during the incubation period may lead to a quarantine loophole

    1. Wei Xia
    2. Jiaqiang Liao
    3. Chunhui Li
    4. Yuanyuan Li
    5. Xi Qian
    6. Xiaojie Sun
    7. Hongbo Xu
    8. Gaga Mahai
    9. Xin Zhao
    10. Lisha Shi
    11. Juan Liu
    12. Ling Yu
    13. Meng Wang
    14. Qianqian Wang
    15. Asmagvl Namat
    16. Ying Li
    17. Jingyu Qu
    18. Qi Liu
    19. Xiaofang Lin
    20. Shuting Cao
    21. Shu Huan
    22. Jiying Xiao
    23. Fengyu Ruan
    24. Hanjin Wang
    25. Qing Xu
    26. Xingjuan Ding
    27. Xingjie Fang
    28. Feng Qiu
    29. Jiaolong Ma
    30. Yu Zhang
    31. Aizhen Wang
    32. Yuling Xing
    33. Shunqing Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Coronavirus in pregnancy and delivery: rapid review

    1. E. Mullins
    2. D. Evans
    3. R. M. Viner
    4. P. O'Brien
    5. E. Morris

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Amplicon-Based Detection and Sequencing of SARS-CoV-2 in Nasopharyngeal Swabs from Patients With COVID-19 and Identification of Deletions in the Viral Genome That Encode Proteins Involved in Interferon Antagonism

    1. Shona C. Moore
    2. Rebekah Penrice-Randal
    3. Muhannad Alruwaili
    4. Nadine Randle
    5. Stuart Armstrong
    6. Catherine Hartley
    7. Sam Haldenby
    8. Xiaofeng Dong
    9. Abdulrahman Alrezaihi
    10. Mai Almsaud
    11. Eleanor Bentley
    12. Jordan Clark
    13. Isabel García-Dorival
    14. Paul Gilmore
    15. Ximeng Han
    16. Benjamin Jones
    17. Lisa Luu
    18. Parul Sharma
    19. Ghada Shawli
    20. Yani Sun
    21. Qin Zhao
    22. Steven T. Pullan
    23. Daniel P. Carter
    24. Kevin Bewley
    25. Jake Dunning
    26. En-min Zhou
    27. Tom Solomon
    28. Michael Beadsworth
    29. James Cruise
    30. Derrick W. Crook
    31. David A. Matthews
    32. Andrew D. Davidson
    33. Zana Mahmood
    34. Waleed Aljabr
    35. Julian Druce
    36. Richard Vipond
    37. Lisa Ng
    38. Laurent Renia
    39. Peter J. M. Openshaw
    40. J. Kenneth Baillie
    41. Miles W. Carroll
    42. James Stewart
    43. Alistair Darby
    44. Malcolm Semple
    45. Lance Turtle
    46. Julian A. Hiscox

    Reviewed by ScreenIT, preLights

    2 evaluationsAppears in 2 listsLatest version Latest activity

  8. COVID-19 early warning score: a multi-parameter screening tool to identify highly suspected patients

    1. Cong-Ying Song
    2. Jia Xu
    3. Jian-Qin He
    4. Yuan-Qiang Lu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A data-driven assessment of early travel restrictions related to the spreading of the novel COVID-19 within mainland China

    1. Alberto Aleta
    2. Qitong Hu
    3. Jiachen Ye
    4. Peng Ji
    5. Yamir Moreno

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. A mathematical model for estimating the age-specific transmissibility of a novel coronavirus

    1. Ze-Yu Zhao
    2. Yuan-Zhao Zhu
    3. Jing-Wen Xu
    4. Qing-Qing Hu
    5. Zhao Lei
    6. Jia Rui
    7. Xing-Chun Liu
    8. Yao Wang
    9. Meng Yang
    10. Li Luo
    11. Shan-Shan Yu
    12. Jia Li
    13. Ruo-Yun Liu
    14. Fang Xie
    15. Ying-Ying Su
    16. Yi-Chen Chiang
    17. Yan-Hua Su
    18. Ben-Hua Zhao
    19. Tian-Mu Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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