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 trans-omics landscape of COVID-19

    1. Peng Wu
    2. Dongsheng Chen
    3. Wencheng Ding
    4. Ping Wu
    5. Hongyan Hou
    6. Yong Bai
    7. Yuwen Zhou
    8. Kezhen Li
    9. Shunian Xiang
    10. Panhong Liu
    11. Jia Ju
    12. Ensong Guo
    13. Jia Liu
    14. Bin Yang
    15. Junpeng Fan
    16. Liang He
    17. Ziyong Sun
    18. Ling Feng
    19. Jian Wang
    20. Tangchun Wu
    21. Hao Wang
    22. Jin Cheng
    23. Hui Xing
    24. Yifan Meng
    25. Yongsheng Li
    26. Yuanliang Zhang
    27. Hongbo Luo
    28. Gang Xie
    29. Xianmei Lan
    30. Ye Tao
    31. Jiafeng Li
    32. Hao Yuan
    33. Kang Huang
    34. Wan Sun
    35. Xiaobo Qian
    36. Zhichao Li
    37. Mingxi Huang
    38. Peiwen Ding
    39. Haoyu Wang
    40. Jiaying Qiu
    41. Feiyue Wang
    42. Shiyou Wang
    43. Jiacheng Zhu
    44. Xiangning Ding
    45. Chaochao Chai
    46. Langchao Liang
    47. Xiaoling Wang
    48. Lihua Luo
    49. Yuzhe Sun
    50. Ying Yang
    51. Zhenkun Zhuang
    52. Tao Li
    53. Lei Tian
    54. Shaoqiao Zhang
    55. Linnan Zhu
    56. Ashley Chang
    57. Lei Chen
    58. Yiquan Wu
    59. Xiaoyan Ma
    60. Fang Chen
    61. Yan Ren
    62. Xun Xu
    63. Siqi Liu
    64. Jian Wang
    65. Huanming Yang
    66. Lin Wang
    67. Chaoyang Sun
    68. Ding Ma
    69. Xin Jin
    70. Gang Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Diagnosis of COVID-19 using CT scan images and deep learning techniques

    1. Vruddhi Shah
    2. Rinkal Keniya
    3. Akanksha Shridharani
    4. Manav Punjabi
    5. Jainam Shah
    6. Ninad Mehendale

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. COVID-19 data analysis and modeling in Palestine

    1. Ines Abdeljaoued-Tej

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Fractal and inertia moment analysis of SARS CoV-2 proliferation through replication

    1. Vimal Raj
    2. S Sreejyothi
    3. M S Swapna
    4. S Sankararaman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Ultra–short-wave diathermy shortens the course of moderate and severe COVID-19: a randomized trial

    1. Liangjiang Huang
    2. Qian Li
    3. Shah Zulfiqar Ali Sayed
    4. Nasb Mohammad
    5. Bin Chen
    6. MPhil Ali Iftikhar
    7. Lingfeng Xie
    8. Jifa Hu
    9. Hong Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Current evidence for COVID-19 therapies: a systematic literature review

    1. Tobias Welte
    2. Lucy J. Ambrose
    3. Gillian C. Sibbring
    4. Shehla Sheikh
    5. Hana Müllerová
    6. Ian Sabir

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Evolution of human respiratory virus epidemics

    1. Nash Rochman
    2. Yuri Wolf
    3. Eugene V. Koonin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Clinical Validation of a Novel T-Cell Receptor Sequencing Assay for Identification of Recent or Prior Severe Acute Respiratory Syndrome Coronavirus 2 Infection

    1. Sudeb C Dalai
    2. Jennifer N Dines
    3. Thomas M Snyder
    4. Rachel M Gittelman
    5. Tera Eerkes
    6. Pashmi Vaney
    7. Sally Howard
    8. Kipp Akers
    9. Lynell Skewis
    10. Anthony Monteforte
    11. Pamela R Witte
    12. Cristina Wolf
    13. Hans Nesse
    14. Megan Herndon
    15. Jia Qadeer
    16. Sarah Duffy
    17. Emily Svejnoha
    18. Caroline Taromino
    19. Ian M Kaplan
    20. John Alsobrook
    21. Thomas Manley
    22. Lance Baldo

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  9. Impact of weather indicators on the COVID-19 outbreak: A multi-state study in India

    1. Kuldeep Singh
    2. Aryan Agarwal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Predicting the COVID-19 positive cases in India with concern to Lockdown by using Mathematical and Machine Learning based Models

    1. Ajit Kumar Pasayat
    2. Satya Narayan Pati
    3. Aashirbad Maharana

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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