Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1371/journal.pone.0246396

https://doi.org/10.1371/journal.pone.0246396

High SARS-CoV-2 load in the nasopharynx of patients with a mild form of COVID-19 is associated with clinical deterioration regardless of the hydroxychloroquine administration

Cited by: 4
Author(s): Alexey A. Komissarov, Ivan Molodtsov, O. Ivanova, Elena Maryukhnich, Svetlana S. Kudryavtseva, А. И. Мазус, E. L. Nikonov, Elena Vasilieva
Published: almost 4 years ago

Software Mentions 5

pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071