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. Integrated genomic view of SARS-CoV-2 in India

    1. Pramod Kumar
    2. Rajesh Pandey
    3. Pooja Sharma
    4. Mahesh S. Dhar
    5. Vivekanand A.
    6. Bharathram Uppili
    7. Himanshu Vashisht
    8. Saruchi Wadhwa
    9. Nishu Tyagi
    10. Saman Fatihi
    11. Uma Sharma
    12. Priyanka Singh
    13. Hemlata Lall
    14. Meena Datta
    15. Poonam Gupta
    16. Nidhi Saini
    17. Aarti Tewari
    18. Bibhash Nandi
    19. Dhirendra Kumar
    20. Satyabrata Bag
    21. Deepanshi Gahlot
    22. Surabhi Rathore
    23. Nidhi Jatana
    24. Varun Jaiswal
    25. Hema Gogia
    26. Preeti Madan
    27. Simrita Singh
    28. Prateek Singh
    29. Debasis Dash
    30. Manju Bala
    31. Sandhya Kabra
    32. Sujeet Singh
    33. Mitali Mukerji
    34. Lipi Thukral
    35. Mohammed Faruq
    36. Anurag Agrawal
    37. Partha Rakshit

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Olfactory transmucosal SARS-CoV-2 invasion as a port of central nervous system entry in individuals with COVID-19

    1. Jenny Meinhardt
    2. Josefine Radke
    3. Carsten Dittmayer
    4. Jonas Franz
    5. Carolina Thomas
    6. Ronja Mothes
    7. Michael Laue
    8. Julia Schneider
    9. Sebastian Brünink
    10. Selina Greuel
    11. Malte Lehmann
    12. Olga Hassan
    13. Tom Aschman
    14. Elisa Schumann
    15. Robert Lorenz Chua
    16. Christian Conrad
    17. Roland Eils
    18. Werner Stenzel
    19. Marc Windgassen
    20. Larissa Rößler
    21. Hans-Hilmar Goebel
    22. Hans R. Gelderblom
    23. Hubert Martin
    24. Andreas Nitsche
    25. Walter J. Schulz-Schaeffer
    26. Samy Hakroush
    27. Martin S. Winkler
    28. Björn Tampe
    29. Franziska Scheibe
    30. Péter Körtvélyessy
    31. Dirk Reinhold
    32. Britta Siegmund
    33. Anja A. Kühl
    34. Sefer Elezkurtaj
    35. David Horst
    36. Lars Oesterhelweg
    37. Michael Tsokos
    38. Barbara Ingold-Heppner
    39. Christine Stadelmann
    40. Christian Drosten
    41. Victor Max Corman
    42. Helena Radbruch
    43. Frank L. Heppner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Trajectories of anxiety and depressive symptoms during enforced isolation due to COVID-19 in England: a longitudinal observational study

    1. Daisy Fancourt
    2. Andrew Steptoe
    3. Feifei Bu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Climatic influence on the magnitude of COVID-19 outbreak: a stochastic model-based global analysis

    1. Malay Pramanik
    2. Koushik Chowdhury
    3. Md Juel Rana
    4. Praffulit Bisht
    5. Raghunath Pal
    6. Sylvia Szabo
    7. Indrajit Pal
    8. Bhagirath Behera
    9. Qiuhua Liang
    10. Sabu S. Padmadas
    11. Parmeshwar Udmale

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Are adversities and worries during the COVID-19 pandemic related to sleep quality? Longitudinal analyses of 46,000 UK adults

    1. Liam Wright
    2. Andrew Steptoe
    3. Daisy Fancourt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Implementation of a real-time, data-driven online Epidemic Calculator for tracking the spread of COVID-19 in Singapore and other countries

    1. Fook Fah Yap
    2. Minglee Yong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A TRANSPARENT, OPEN-SOURCE SIRD MODEL FOR COVID19 DEATH PROJECTIONS IN INDIA

    1. Ananye Agarwal
    2. Utkarsh Tyagi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Exposure to cough aerosols and development of pulmonary COVID-19

    1. Koen Vanden Driessche
    2. Jeremy Nestele
    3. Jeroen Grouwels
    4. Els LIM Duval

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Early phylodynamics analysis of the COVID-19 epidemic in France

    1. Gonché Danesh
    2. Baptiste Elie
    3. Yannis Michalakis
    4. Mircea T Sofonea
    5. Antonin Bal
    6. Sylvie Behillil
    7. Grégory Destras
    8. David Boutolleau
    9. Sonia Burrel
    10. Anne-Geneviève Marcelin
    11. Jean-Christophe Plantier
    12. Vincent Thibault
    13. Etienne Simon-Loriere
    14. Sylvie van der Werf
    15. Bruno Lina
    16. Laurence Josset
    17. Vincent Enouf
    18. Samuel Alizon

    Reviewed by Peer Community in Evolutionary Biology, ScreenIT

    2 evaluationsAppears in 2 listsLatest version Latest activity

  10. The Role of Artificial Intelligence, MLR and Statistical Analysis in Investigations about the Correlation of Swab Tests and Stress on Health Care Systems by COVID-19

    1. Behzad Pirouz
    2. Hana Javadi Nejad
    3. Galileo Violini
    4. Behrouz Pirouz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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