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. Impact of contact tracing on COVID-19 mortality: An impact evaluation using surveillance data from Colombia

    1. Andres I. Vecino-Ortiz
    2. Juliana Villanueva Congote
    3. Silvana Zapata Bedoya
    4. Zulma M. Cucunuba

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Application-oriented mathematical algorithms for group testing

    1. Endre Csóka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. COVID-19 risk perceptions of social interaction and essential activities and inequity in the USA: results from a nationally representative survey

    1. Daniel J Erchick
    2. Alexander J Zapf
    3. Prativa Baral
    4. Jeffrey Edwards
    5. Shruti H Mehta
    6. Sunil S Solomon
    7. Dustin G Gibson
    8. Smisha Agarwal
    9. Alain B Labrique

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Antibody landscape against SARS-CoV-2 reveals significant differences between non-structural/accessory and structural proteins

    1. Yang Li
    2. Zhaowei Xu
    3. Qing Lei
    4. Dan-yun Lai
    5. Hongyan Hou
    6. He-wei Jiang
    7. Yun-xiao Zheng
    8. Xue-ning Wang
    9. Jiaoxiang Wu
    10. Ming-liang Ma
    11. Bo Zhang
    12. Hong Chen
    13. Caizheng Yu
    14. Jun-biao Xue
    15. Hai-nan Zhang
    16. Huan Qi
    17. Shu-juan Guo
    18. Yandi Zhang
    19. Xiaosong Lin
    20. Zongjie Yao
    21. Huiming Sheng
    22. Ziyong Sun
    23. Feng Wang
    24. Xionglin Fan
    25. Sheng-ce Tao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Forecasting daily confirmed COVID-19 cases in Algeria using ARIMA models

    1. Messis Abdelaziz
    2. Adjebli Ahmed
    3. Ayeche Riad
    4. Ghidouche Abderrezak
    5. Ait-Ali Djida

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Using image-based haplotype alignments to map global adaptation of SARS-CoV-2

    1. Tom W. Ouellette
    2. Jim Shaw
    3. Philip Awadalla

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Quickly And Simply Detection For Coronavirus Including SARS-CoV-2 On The Mobile Real-Time PCR Device And Without RNA Extraction

    1. Masaaki Muraoka
    2. Yukiko Tanoi
    3. Tetsutaro Tada
    4. Mikio Mizukoshi
    5. Osamu Kawaguchi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. COVID-19 Preprints and Their Publishing Rate: An Improved Method

    1. Francois Lachapelle

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Modeling the Impact of Nationwide BCG Vaccine Recommendations on COVID-19 Transmission, Severity, and Mortality

    1. Nita H Shah
    2. Ankush Suthar
    3. Moksha H Satia
    4. Yash Shah
    5. Nehal Shukla
    6. Jagdish Shukla
    7. Dhairya Shukla

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Electronic Computer-Based Model of Combined Ventilation Using a New Medical Device

    1. Matias Ramos
    2. Roberto Orofino Giambastiani
    3. Diego Riva
    4. María Fernanda Biancolini
    5. Ignacio Lugones

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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