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. SCV-2000bp: a primer panel for SARS-CoV-2 full-genome sequencing

    1. AS Speranskaya
    2. VV Kaptelova
    3. AV Valdokhina
    4. VP Bulanenko
    5. AE Samoilov
    6. EV Korneenko
    7. OY Shipulina
    8. VG Akimkin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Estimating the real-time case fatality rate of COVID-19 using Poisson mixtures model

    1. Paul H. Lee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. COVID-19 Superspreading Suggests Mitigation by Social Network Modulation

    1. Bjarke Frost Nielsen
    2. Lone Simonsen
    3. Kim Sneppen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Enhanced Cholesterol-Dependent Hemifusion by Internal Fusion Peptide 1 of SARS Coronavirus-2 Compared to Its N-Terminal Counterpart

    1. Gourab Prasad Pattnaik
    2. Surajit Bhattacharjya
    3. Hirak Chakraborty

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The neurological symptoms of COVID-19: a systematic overview of systematic reviews, comparison with other neurological conditions and implications for healthcare services

    1. Tamar Wildwing
    2. Nicole Holt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Efficacy and safety of chloroquine or hydroxychloroquine in moderate type of COVID-19: a prospective open-label randomized controlled study

    1. Lan Chen
    2. Zhen-Yu Zhang
    3. Jian-Guo Fu
    4. Zhi-Peng Feng
    5. Su-Zhen Zhang
    6. Qiu-Ying Han
    7. Xiao-Bin Zhang
    8. Xiong Xiao
    9. Hui-Min Chen
    10. Li-Long Liu
    11. Xian-Li Chen
    12. Yu-Pei Lan
    13. De-Jin Zhong
    14. Lan Hu
    15. Jun-Hui Wang
    16. Xing-Hua Yu
    17. Dan-Yang She
    18. Yong-Hong Zhu
    19. Zhen-Yu Yin

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. A modeling study to inform screening and testing interventions for the control of SARS-CoV-2 on university campuses

    1. Ben Lopman
    2. Carol Y. Liu
    3. Adrien Le Guillou
    4. Andreas Handel
    5. Timothy L. Lash
    6. Alexander P. Isakov
    7. Samuel M. Jenness

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Lack of protective effect of chloroquine derivatives on COVID-19 disease in a Spanish sample of chronically treated patients

    1. Marina Laplana
    2. Oriol Yuguero
    3. Joan Fibla

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A recursive bifurcation model for early forecasting of COVID-19 virus spread in South Korea and Germany

    1. Julia Shen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Assessment of protein–protein interfaces in cryo-EM derived assemblies

    1. Sony Malhotra
    2. Agnel Praveen Joseph
    3. Jeyan Thiyagalingam
    4. Maya Topf

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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