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. Analysis of the time evolution of SARS-CoV-2 lethality rate in Italy: Evidence of an unaltered virus potency

    1. Nicole Balasco
    2. Vincenzo d’Alessandro
    3. Giovanni Smaldone
    4. Luigi Vitagliano

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Compartmentalization-aided interaction screening reveals extensive high-order complexes within the SARS-CoV-2 proteome

    1. Weifan Xu
    2. Gaofeng Pei
    3. Hongrui Liu
    4. Xiaohui Ju
    5. Jing Wang
    6. Qiang Ding
    7. Pilong Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The coronavirus spread: the Italian case

    1. Aldo Bonasera
    2. G. Bonasera
    3. Suyalatu Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Longitudinal Dynamics of the Neutralizing Antibody Response to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection

    1. Kai Wang
    2. Quan-Xin Long
    3. Hai-Jun Deng
    4. Jie Hu
    5. Qing-Zhu Gao
    6. Gui-Ji Zhang
    7. Chang-Long He
    8. Lu-Yi Huang
    9. Jie-Li Hu
    10. Juan Chen
    11. Ni Tang
    12. Ai-Long Huang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The brief comparison of the operational efficiency of pool-testing strategies for COVID-19 mass testing in PCR laboratories

    1. Kirill Vechera

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask Features

    1. Aram Ter-Sarkisov

    Reviewed by ScreenIT

    4 evaluationsAppears in 1 listLatest version Latest activity

  7. Protocol for a Rapid Scoping Review of Evidence of Outdoor Transmission of COVID-19

    1. Mike Weed
    2. Abby Foad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Issues of Random Sampling with Rapid Antigen Tests for COVID-19 Diagnosis: A Special Reference to Kalmunai RDHS Division

    1. AM Razmy
    2. SM Junaideen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care

    1. Richard M Wood
    2. Christopher J McWilliams
    3. Matthew J Thomas
    4. Christopher P Bourdeaux
    5. Christos Vasilakis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Detection of SARS-CoV-2 RNA using RT-LAMP and molecular beacons

    1. Scott Sherrill-Mix
    2. Young Hwang
    3. Aoife M. Roche
    4. Abigail Glascock
    5. Susan R. Weiss
    6. Yize Li
    7. Leila Haddad
    8. Peter Deraska
    9. Caitlin Monahan
    10. Andrew Kromer
    11. Jevon Graham-Wooten
    12. Louis J. Taylor
    13. Benjamin S. Abella
    14. Arupa Ganguly
    15. Ronald G. Collman
    16. Gregory D. Van Duyne
    17. Frederic D. Bushman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1436 of 2361 Older