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. Rural prioritization may increase the impact of COVID-19 vaccines in a representative COVAX AMC country setting due to ongoing internal migration: A modeling study

    1. Prashanth Selvaraj
    2. Bradley G. Wagner
    3. Dennis L. Chao
    4. Maïna L’Azou Jackson
    5. J. Gabrielle Breugelmans
    6. Nicholas Jackson
    7. Stewart T. Chang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Absolute quantitation of individual SARS-CoV-2 RNA molecules provides a new paradigm for infection dynamics and variant differences

    1. Jeffrey Y Lee
    2. Peter AC Wing
    3. Dalia S Gala
    4. Marko Noerenberg
    5. Aino I Järvelin
    6. Joshua Titlow
    7. Xiaodong Zhuang
    8. Natasha Palmalux
    9. Louisa Iselin
    10. Mary Kay Thompson
    11. Richard M Parton
    12. Maria Prange-Barczynska
    13. Alan Wainman
    14. Francisco J Salguero
    15. Tammie Bishop
    16. Daniel Agranoff
    17. William James
    18. Alfredo Castello
    19. Jane A McKeating
    20. Ilan Davis

    Reviewed by Review Commons, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  3. Analysis of the Second COVID-19 Wave in India and the United Kingdom Using a Birth-Death Model

    1. Narayanan C. Viswanath

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID in Post Vaccinated individuals- Beacon of Light

    1. VK Sashindran
    2. K Rajesh
    3. Ankur Nigam
    4. Sourya Sourabh Mohakuda
    5. Navin Bhati
    6. D Mohapatra

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  5. Integrative COVID-19 biological network inference with probabilistic core decomposition

    1. Yang Guo
    2. Fatemeh Esfahani
    3. Xiaojian Shao
    4. Venkatesh Srinivasan
    5. Alex Thomo
    6. Li Xing
    7. Xuekui Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A short plus long-amplicon based sequencing approach improves genomic coverage and variant detection in the SARS-CoV-2 genome

    1. Carlos Arana
    2. Chaoying Liang
    3. Matthew Brock
    4. Bo Zhang
    5. Jinchun Zhou
    6. Li Chen
    7. Brandi Cantarel
    8. Jeffrey SoRelle
    9. Lora V. Hooper
    10. Prithvi Raj

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Temporal changes in mental response and prevention patterns, and their impact from uncertainty stress during the transition in China from the COVID-19 epidemic to sporadic infection

    1. Sihui Peng
    2. Tingzhong Yang
    3. Weifang Zhang
    4. Randall R. Cottrell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The accuracy of saliva versus nasopharyngeal and/or oropharyngeal samples for the detection of SARS-CoV-2 in children – A rapid systematic review and meta-analysis

    1. Sharonjit K. Dhillon
    2. Petra Schelstraete
    3. Laura Cornelissen
    4. Yves Lafort
    5. Jesper Bonde
    6. M. Arbyn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Use of hiPSC-Derived Cardiomyocytes to Rule Out Proarrhythmic Effects of Drugs: The Case of Hydroxychloroquine in COVID-19

    1. Luca Sala
    2. Vladislav Leonov
    3. Manuela Mura
    4. Federica Giannetti
    5. Aleksandr Khudiakov
    6. Alessandra Moretti
    7. Lia Crotti
    8. Massimiliano Gnecchi
    9. Peter J. Schwartz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Identification of SGLT2 inhibitor Ertugliflozin as a treatment for COVID-19 using computational and experimental paradigm

    1. Shalini Saxena
    2. Kranti Meher
    3. Madhuri Rotella
    4. Subhramanyam Vangala
    5. Satish Chandran
    6. Nikhil Malhotra
    7. Ratnakar Palakodeti
    8. Sreedhara R Voleti
    9. Uday Saxena

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1137 of 2361 Older