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. Allosteric Hotspots in the Main Protease of SARS-CoV-2

    1. Léonie Strömich
    2. Nan Wu
    3. Mauricio Barahona
    4. Sophia N. Yaliraki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The impact of COVID-19 on patients with asthma

    1. José Luis Izquierdo
    2. Carlos Almonacid
    3. Yolanda González
    4. Carlos Del Rio-Bermudez
    5. Julio Ancochea
    6. Remedios Cárdenas
    7. Sara Lumbreras
    8. Joan B. Soriano

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Hydroxychloroquine serum concentrations in non-critical care patients infected with SARS-CoV-2

    1. Alasdair MacGowan
    2. Fergus Hamilton
    3. Mark Bayliss
    4. Liam Read
    5. Marie Attwood
    6. Alan Noel
    7. Sally Grier
    8. Anna Morley
    9. David Arnold
    10. Nicholas Maskell

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Reference ontology and database annotation of the COVID-19 Open Research Dataset (CORD-19)

    1. Oliver Giles
    2. Rachael Huntley
    3. Anneli Karlsson
    4. Jane Lomax
    5. James Malone

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Analysis of the Worldwide Corona Virus (COVID-19) Pandemic Trend; A Modelling Study to Predict Its Spread

    1. Muhammad Qasim
    2. Waqas Ahmad
    3. Minami Yoshida
    4. Maree Gould
    5. Muhammad Yasir

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. An Automatic Computer-Based Method for Fast and Accurate Covid-19 Diagnosis

    1. Abdullah Al Jaid Jim
    2. Ibrahim Rafi
    3. Md. Sanaullah Chowdhury
    4. Niloy Sikder
    5. M. A. Parvez Mahmud
    6. Saeed Rubaiee
    7. Mehedi Masud
    8. Anupam Kumar Bairagi
    9. Kangkan Bhakta
    10. Abdullah-Al Nahid

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Socioeconomic inequalities associated with mortality for COVID-19 in Colombia: a cohort nationwide study

    1. Myriam Patricia Cifuentes
    2. Laura Andrea Rodriguez-Villamizar
    3. Maylen Liseth Rojas-Botero
    4. Carlos Arturo Alvarez-Moreno
    5. Julián Alfredo Fernández-Niño

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. COVID-19 PREDICTION IN SOUTH AFRICA: ESTIMATING THE UNASCERTAINED CASES- THE HIDDEN PART OF THE EPIDEMIOLOGICAL ICEBERG

    1. Xuelin Gu
    2. Bhramar Mukherjee
    3. Sonali Das
    4. Jyotishka Datta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Comprehensive analysis of the key epidemiological parameters to evaluate the impact of BCG vaccination on COVID-19 pandemic

    1. Niloy R. Datta
    2. Sneha Datta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Discovery of SARS-CoV-2 antiviral synergy between remdesivir and approved drugs in human lung cells

    1. Xammy Nguyenla
    2. Eddie Wehri
    3. Erik Van Dis
    4. Scott B. Biering
    5. Livia H. Yamashiro
    6. Julien Stroumza
    7. Claire Dugast-Darzacq
    8. Thomas Graham
    9. Sarah Stanley
    10. Julia Schaletzky

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1748 of 2361 Older