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. Prevalence of IgG antibodies against SARS-CoV-2 among healthcare workers in a tertiary pediatric hospital in Poland

    1. Beata Kasztelewicz
    2. Katarzyna Janiszewska
    3. Julia Burzyńska
    4. Emilia Szydłowska
    5. Marek Migdał
    6. Katarzyna Dzierżanowska-Fangrat

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Getting to zero quickly in the 2019-nCov epidemic with vaccines or rapid testing

    1. Gerardo Chowell
    2. Ranu Dhillon
    3. Devabhaktuni Srikrishna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. No evidence for basigin/CD147 as a direct SARS-CoV-2 spike binding receptor

    1. Jarrod Shilts
    2. Thomas W. M. Crozier
    3. Edward J. D. Greenwood
    4. Paul J. Lehner
    5. Gavin J. Wright

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Negative Excess Mortality in Pneumonia Death caused by COVID-19 in Japan

    1. Junko Kurita
    2. Tamie Sugawara
    3. Yoshiyuki Sugishita
    4. Yasushi Ohkusa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Outbreak analysis with a logistic growth model shows COVID-19 suppression dynamics in China

    1. Yi Zou
    2. Stephen Pan
    3. Peng Zhao
    4. Lei Han
    5. Xiaoxiang Wang
    6. Lia Hemerik
    7. Johannes Knops
    8. Wopke van der Werf

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Longitudinal Analysis of COVID-19 Patients Shows Age-Associated T Cell Changes Independent of Ongoing Ill-Health

    1. Liam Townsend
    2. Adam H. Dyer
    3. Aifric Naughton
    4. Rachel Kiersey
    5. Dean Holden
    6. Mary Gardiner
    7. Joanne Dowds
    8. Kate O’Brien
    9. Ciaran Bannan
    10. Parthiban Nadarajan
    11. Jean Dunne
    12. Ignacio Martin-Loeches
    13. Padraic G. Fallon
    14. Colm Bergin
    15. Cliona O’Farrelly
    16. Cliona Ni Cheallaigh
    17. Nollaig M. Bourke
    18. Niall Conlon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Multi-organ proteomic landscape of COVID-19 autopsies

    1. Xiu Nie
    2. Liujia Qian
    3. Rui Sun
    4. Bo Huang
    5. Xiaochuan Dong
    6. Qi Xiao
    7. Qiushi Zhang
    8. Tian Lu
    9. Liang Yue
    10. Shuo Chen
    11. Xiang Li
    12. Yaoting Sun
    13. Lu Li
    14. Luang Xu
    15. Yan Li
    16. Ming Yang
    17. Zhangzhi Xue
    18. Shuang Liang
    19. Xuan Ding
    20. Chunhui Yuan
    21. Li Peng
    22. Wei Liu
    23. Xiao Yi
    24. Mengge Lyu
    25. Guixiang Xiao
    26. Xia Xu
    27. Weigang Ge
    28. Jiale He
    29. Jun Fan
    30. Junhua Wu
    31. Meng Luo
    32. Xiaona Chang
    33. Huaxiong Pan
    34. Xue Cai
    35. Junjie Zhou
    36. Jing Yu
    37. Huanhuan Gao
    38. Mingxing Xie
    39. Sihua Wang
    40. Guan Ruan
    41. Hao Chen
    42. Hua Su
    43. Heng Mei
    44. Danju Luo
    45. Dashi Zhao
    46. Fei Xu
    47. Yan Li
    48. Yi Zhu
    49. Jiahong Xia
    50. Yu Hu
    51. Tiannan Guo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-CoV-2 seropositivity after infection and antibody response to mRNA-based vaccination

    1. Emily J. Ciccone
    2. Deanna R. Zhu
    3. Rawan Ajeen
    4. Evans K. Lodge
    5. Bonnie E. Shook-Sa
    6. Ross M. Boyce
    7. Allison E. Aiello
    8. COVID HCP Study Team

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Modelling the Potential Health Impact of the COVID-19 Pandemic on a Hypothetical European Country

    1. Nick Wilson
    2. Lucy Telfar Barnard
    3. Amanda Kvalsvig
    4. Ayesha Verrall
    5. Michael Baker
    6. Markus Schwehm

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Power Law in COVID-19 Cases in China

    1. Behzod B. Ahundjanov
    2. Sherzod B. Akhundjanov
    3. Botir B. Okhunjanov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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