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ZENODO
Dataset . 2021
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2017
License: CC 0
Data sources: Datacite
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Data from: Who's downloading pirated papers? Everyone

Authors: Elbakyan, Alexandra; Bohannon, John;

Data from: Who's downloading pirated papers? Everyone

Abstract

In increasing numbers, researchers around the world are turning to Sci-Hub, the controversial website that hosts 50 million pirated papers and counting. Now, with server log data from Alexandra Elbakyan, the neuroscientist who created Sci-Hub in 2011 as a 22-year-old graduate student in Kazakhstan, Science addresses some basic questions: Who are Sci-Hub's users, where are they, and what are they reading? The Sci-Hub data provide the first detailed view of what is becoming the world's de facto open-access research library. Among the revelations that may surprise both fans and foes alike: Sci-Hub users are not limited to the developing world. Some critics of Sci-Hub have complained that many users can access the same papers through their libraries but turn to Sci-Hub instead—for convenience rather than necessity. The data provide some support for that claim. Over the 6 months leading up to March, Sci-Hub served up 28 million documents, with Iran, China, India, Russia, and the United States the leading requestors.

Sci-Hub download dataThese data include 28 million download request events from the server logs of Sci-Hub from 1 September 2015 through 29 February 2016. The uncompressed 2.7 gigabytes of data are separated into 6 data files, one for each month, in tab-delimited text format.scihub_data.zipIPython Notebook for Sci-Hub raw dataIPython Notebook used to process the raw server log data (processing the GIS files into CSV, scraping DOI metadata, etc.).Sci-Hub.htmlSci-Hub.ipynbSci-Hub publisher DOI prefixesData scraped from the CrossRef website which can be used to replicate the analysis of downloads by publisher.publisher_DOI_prefixes.csv

Keywords

open access, scientific communication

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4K
    download downloads 785
  • 4K
    views
    785
    downloads
    Powered byOpenAIRE UsageCounts
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visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
7
Top 10%
Top 1%
Top 10%
4K
785