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. Brain volumetric changes in the general population following the COVID-19 outbreak and lockdown

    1. Tom Salomon
    2. Adi Cohen
    3. Daniel Barazany
    4. Gal Ben-Zvi
    5. Rotem Botvinik-Nezer
    6. Rani Gera
    7. Shiran Oren
    8. Dana Roll
    9. Gal Rozic
    10. Anastasia Saliy
    11. Niv Tik
    12. Galia Tsarfati
    13. Ido Tavor
    14. Tom Schonberg
    15. Yaniv Assaf

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Evaluating recovery, cost, and throughput of different concentration methods for SARS-CoV-2 wastewater-based epidemiology

    1. Zachary W. LaTurner
    2. David M. Zong
    3. Prashant Kalvapalle
    4. Kiara Reyes Gamas
    5. Austen Terwilliger
    6. Tessa Crosby
    7. Priyanka Ali
    8. Vasanthi Avadhanula
    9. Haroldo Hernandez Santos
    10. Kyle Weesner
    11. Loren Hopkins
    12. Pedro A. Piedra
    13. Anthony W. Maresso
    14. Lauren B. Stadler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Clinical course and risk factors for mortality of COVID-19 patients with pre-existing cirrhosis: a multicentre cohort study

    1. Xiaolong Qi
    2. Yanna Liu
    3. Jitao Wang
    4. Jonathan A Fallowfield
    5. Jianwen Wang
    6. Xinyu Li
    7. Jindong Shi
    8. Hongqiu Pan
    9. Shengqiang Zou
    10. Hongguang Zhang
    11. Zhenhuai Chen
    12. Fujian Li
    13. Yan Luo
    14. Mei Mei
    15. Huiling Liu
    16. Zhengyan Wang
    17. Jinlin Li
    18. Hua Yang
    19. Huihua Xiang
    20. Xiaodan Li
    21. Tao Liu
    22. Ming-Hua Zheng
    23. Chuan Liu
    24. Yifei Huang
    25. Dan Xu
    26. Xiaoguo Li
    27. Ning Kang
    28. Qing He
    29. Ye Gu
    30. Guo Zhang
    31. Chuxiao Shao
    32. Dengxiang Liu
    33. Lin Zhang
    34. Xun Li
    35. Norifumi Kawada
    36. Zicheng Jiang
    37. Fengmei Wang
    38. Bin Xiong
    39. Tetsuo Takehara
    40. Don C Rockey

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Effects of Latency on Estimates of the COVID-19 Replication Number

    1. Lorenzo Sadun

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Clinical Evaluation of the Abbott Alinity SARS-CoV-2 Spike-Specific Quantitative IgG and IgM Assays among Infected, Recovered, and Vaccinated Groups

    1. Madhusudhanan Narasimhan
    2. Lenin Mahimainathan
    3. Ellen Araj
    4. Andrew E. Clark
    5. John Markantonis
    6. Allen Green
    7. Jing Xu
    8. Jeffrey A. SoRelle
    9. Charles Alexis
    10. Kimberly Fankhauser
    11. Hiren Parikh
    12. Kathleen Wilkinson
    13. Annika Reczek
    14. Noa Kopplin
    15. Sruthi Yekkaluri
    16. Jyoti Balani
    17. Abey Thomas
    18. Amit G. Singal
    19. Ravi Sarode
    20. Alagarraju Muthukumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Prediction of Covid-19 Infections Through December 2020 for 10 US States Incorporating Outdoor Temperature and School Re-Opening Effects-October Update

    1. Ty Newell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. COVID-19 severity is predicted by earlier evidence of accelerated aging

    1. Chia-Ling Kuo
    2. Luke C. Pilling
    3. Janice L Atkins
    4. Jane AH Masoli
    5. João Delgado
    6. Christopher Tignanelli
    7. George A Kuchel
    8. David Melzer
    9. Kenneth B Beckman
    10. Morgan E. Levine

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Establishment of murine hybridoma cells producing antibodies against spike protein of SARS-CoV-2

    1. Nadezhda V. Antipova
    2. Tatyana D. Larionova
    3. Michail I. Shakhparonov
    4. Marat S. Pavlyukov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Downsides of face masks and possible mitigation strategies: a systematic review and meta-analysis

    1. Mina Bakhit
    2. Natalia Krzyzaniak
    3. Anna Mae Scott
    4. Justin Clark
    5. Paul Glasziou
    6. Chris Del Mar

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Do Lockdowns Bring about Additional Mortality Benefits or Costs? Evidence based on Death Records from 300 Million Chinese People

    1. Jinlei Qi
    2. Dandan Zhang
    3. Xiang Zhang
    4. Peng Yin
    5. Jiangmei Liu
    6. Yuhang Pan
    7. Tanakao Takana
    8. Peiyu Xie
    9. Zhaoguang Wang
    10. Shuocen Liu
    11. George F. Gao
    12. Guojun He
    13. Maigeng Zhou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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