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. Near-physiological-temperature serial crystallography reveals conformations of SARS-CoV-2 main protease active site for improved drug repurposing

    1. Serdar Durdagi
    2. Çağdaş Dağ
    3. Berna Dogan
    4. Merve Yigin
    5. Timucin Avsar
    6. Cengizhan Buyukdag
    7. Ismail Erol
    8. Fatma Betul Ertem
    9. Seyma Calis
    10. Gunseli Yildirim
    11. Muge D. Orhan
    12. Omur Guven
    13. Busecan Aksoydan
    14. Ebru Destan
    15. Kader Sahin
    16. Sabri O. Besler
    17. Lalehan Oktay
    18. Alaleh Shafiei
    19. Ilayda Tolu
    20. Esra Ayan
    21. Busra Yuksel
    22. Ayse B. Peksen
    23. Oktay Gocenler
    24. Ali D. Yucel
    25. Ozgur Can
    26. Serena Ozabrahamyan
    27. Alpsu Olkan
    28. Ece Erdemoglu
    29. Fulya Aksit
    30. Gokhan Tanisali
    31. Oleksandr M. Yefanov
    32. Anton Barty
    33. Alexandra Tolstikova
    34. Gihan K. Ketawala
    35. Sabine Botha
    36. E. Han Dao
    37. Brandon Hayes
    38. Mengning Liang
    39. Matthew H. Seaberg
    40. Mark S. Hunter
    41. Alex Batyuk
    42. Valerio Mariani
    43. Zhen Su
    44. Frederic Poitevin
    45. Chun Hong Yoon
    46. Christopher Kupitz
    47. Raymond G. Sierra
    48. Edward H. Snell
    49. Hasan DeMirci

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Predictors of severe symptomatic laboratory-confirmed SARS-CoV-2 reinfection

    1. E. Murillo-Zamora
    2. O. Mendoza-Cano
    3. I. Delgado-Enciso
    4. C.M. Hernandez-Suarez

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  3. Staging and typing of chest CT images: A quantitative analysis based on an ambispective observational cohort study of 125 patients with COVID-19 in Xiangyang, China

    1. Guoxin Huang
    2. Yong Wang
    3. Xiaxia Wu
    4. Gaojing Qu
    5. Junwen Chen
    6. Hui Yu
    7. Meiling Zhang
    8. Lisha Wang
    9. Jinwei Ai
    10. Haoming Zhu
    11. Lei Chen
    12. Bin Pei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Anemia during SARS-CoV-2 infection is associated with rehospitalization after viral clearance

    1. Patrick J. Lenehan
    2. Eshwan Ramudu
    3. A.J. Venkatakrishnan
    4. Gabriela Berner
    5. Reid McMurry
    6. John C. O'Horo
    7. Andrew D. Badley
    8. William Morice
    9. John Halamka
    10. Venky Soundararajan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Comprehensive mapping of SARS-CoV-2 interactions in vivo reveals functional virus-host interactions

    1. Siwy Ling Yang
    2. Louis DeFalco
    3. Danielle E. Anderson
    4. Yu Zhang
    5. Jong Ghut Ashley Aw
    6. Su Ying Lim
    7. Xin Ni Lim
    8. Kiat Yee Tan
    9. Tong Zhang
    10. Tanu Chawla
    11. Yan Su
    12. Alexander Lezhava
    13. Andres Merits
    14. Lin-Fa Wang
    15. Roland G. Huber
    16. Yue Wan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Pediatric Intensive Care Unit Admissions for COVID-19: Insights Using State-Level Data

    1. Rohit S. Loomba
    2. Enrique G. Villarreal
    3. Juan S. Farias
    4. Ronald A. Bronicki
    5. Saul Flores

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

    1. Mariana G. Ferrarini
    2. Avantika Lal
    3. Rita Rebollo
    4. Andreas J. Gruber
    5. Andrea Guarracino
    6. Itziar Martinez Gonzalez
    7. Taylor Floyd
    8. Daniel Siqueira de Oliveira
    9. Justin Shanklin
    10. Ethan Beausoleil
    11. Taneli Pusa
    12. Brett E. Pickett
    13. Vanessa Aguiar-Pulido

    Reviewed by ScreenIT

    4 evaluationsAppears in 1 listLatest version Latest activity

  8. Forecast and interpretation of daily affected people during 21 days lockdown due to COVID 19 pandemic in India

    1. Achintya Bhattacharyya
    2. Dipak Bhowmik
    3. Joy Mukherjee

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Google Searches for Taste and Smell Loss Anticipate Covid-19 Epidemiology

    1. Giuseppe Lippi
    2. Brandon M. Henry
    3. Camilla Mattiuzzi
    4. Fabian Sanchis-Gomar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Quantitative Measurement of IgG to Severe Acute Respiratory Syndrome Coronavirus-2 Proteins Using ImmunoCAP

    1. Behnam Keshavarz
    2. Joesph R. Wiencek
    3. Lisa J. Workman
    4. Matthew D. Straesser
    5. Lyndsey M. Muehling
    6. Glenda Canderan
    7. Fabrizio Drago
    8. Catherine A. Bonham
    9. Jeffrey M. Sturek
    10. Chintan Ramani
    11. Coleen A. McNamara
    12. Judith A. Woodfolk
    13. Alexandra Kadl
    14. Thomas A.E. Platts-Mills
    15. Jeffrey M. Wilson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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