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. Early Tocilizumab Dosing Is Associated With Improved Survival in Critically Ill Patients Infected With Severe Acute Respiratory Syndrome Coronavirus-2

    1. Russell M. Petrak
    2. Nicholas W. Van Hise
    3. Nathan C. Skorodin
    4. Robert M. Fliegelman
    5. Vishnu Chundi
    6. Vishal Didwania
    7. Alice Han
    8. Brian P. Harting
    9. David W. Hines

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. ISARIC COVID-19 Clinical Data Report: Final report January 2020 – January 2023

    1. ISARIC Clinical Characterisation Group
    2. J. Kenneth Baillie
    3. Joaquin Baruch
    4. Abigail Beane
    5. Lucille Blumberg
    6. Fernando Augusto Bozza
    7. Tessa Broadley
    8. Aidan Burrell
    9. Gail Carson
    10. Barbara Wanjiru Citarella
    11. Jake Dunning
    12. Loubna Elotmani
    13. Noelia Garcia Barrio
    14. Jean-Christophe Goffard
    15. Matthew Hall
    16. Madiha Hashmi
    17. Peter Horby
    18. Waasila Jassat
    19. Christiana Kartsonaki
    20. Bharath Kumar Tirupakuzhi Vijayaraghavan
    21. Pavan Kumar Vecham
    22. Cedric Laouenan
    23. Samantha Lissauer
    24. Ignacio Martin-Loeches
    25. France Mentre
    26. Ben Morton
    27. Daniel Munblit
    28. Nikita A. Nekliudov
    29. Alistair Nichol
    30. David S.Y. Ong
    31. Prasan Kumar Panda
    32. Miguel Pedrera Jimenez
    33. Michelle Petrovic
    34. Nagarajan Ramakrishnan
    35. Grazielle Viana Ramos
    36. Claire Roger
    37. Amanda Rojek
    38. Oana Sandulescu
    39. Malcolm G. Semple
    40. Pratima Sharma
    41. Sally Shrapnel
    42. Louise Sigfrid
    43. Benedict Sim Lim Heng
    44. Budha Charan Singh
    45. Emily Somers
    46. Anca Streinu-Cercel
    47. Fabio S. Taccone
    48. Jia Wei
    49. Evert-Jan Wils
    50. Xin Ci Wong
    51. Kyle Young
    52. Piero L. Olliaro
    53. Laura Merson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Declining Trend in the Initial SARS-CoV-2 Viral Load During the Pandemic: Preliminary Observations from Detroit, Michigan

    1. Said El Zein
    2. Nivine El-Hor
    3. Omar Chehab
    4. Samer Alkassis
    5. Tushar Mishra
    6. Vichar Trivedi
    7. Hossein Salimnia
    8. Pranatharthi Chandrasekar

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  4. Will COVID-19 pandemic diminish by summer-monsoon in India? Lesson from the first lockdown

    1. Sarvan Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. What if we perceive SARS-CoV-2 genomes as documents? Topic modelling using Latent Dirichlet Allocation to identify mutation signatures and classify SARS-CoV-2 genomes

    1. Sunil Nagpal
    2. Divyanshu Srivastava
    3. Sharmila S. Mande

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Public Opinions towards COVID-19 in California and New York on Twitter

    1. Xueting Wang
    2. Canruo Zou
    3. Zidian Xie
    4. Dongmei Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clinical characteristics and short term outcomes after recovery from COVID-19 in patients with and without diabetes in Bangladesh

    1. Farhana Akter
    2. Adnan Mannan
    3. H.M. Hamidullah Mehedi
    4. Md. Abdur Rob
    5. Shakeel Ahmed
    6. Asma Salauddin
    7. Md. Shakhawat Hossain
    8. Md. Mahbub Hasan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Large-scale measurement of aggregate human colocation patterns for epidemiological modeling

    1. Shankar Iyer
    2. Brian Karrer
    3. Daniel T. Citron
    4. Farshad Kooti
    5. Paige Maas
    6. Zeyu Wang
    7. Eugenia Giraudy
    8. Ahmed Medhat
    9. P. Alex Dow
    10. Alex Pompe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Goblet Cell Hyperplasia Increases SARS-CoV-2 Infection in COPD

    1. Jaspreet K. Osan
    2. Sattya N. Talukdar
    3. Friederike Feldmann
    4. Beth Ann DeMontigny
    5. Kailey Jerome
    6. Kristina L. Bailey
    7. Heinz Feldmann
    8. Masfique Mehedi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Machine Learning Approaches Reveal That the Number of Tests Do Not Matter to the Prediction of Global Confirmed COVID-19 Cases

    1. Md Hasinur Rahaman Khan
    2. Ahmed Hossain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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