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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
What Can Big Data on Academic Interest Reveal about a Drug? Reflections in Three Major US Databases
ترجمه فارسی عنوان مقاله:
چه چیزی می تواند داده های بزرگ در مورد علاقه ی علمی به دارو نشان دهد؟ بازتاب در سه پایگاه داده اصلی ایالات متحده
منبع:
Sciencedirect - Elsevier - Trends in Pharmacological Sciences, 39 (2018) 249-258: doi:10:1016/j:tips:2017:12:005
نویسنده:
Igor Kissin1,*
چکیده انگلیسی:
The different stages of the life cycle of a drug – ‘prenatal’ stage, birth of a drug,
rapid growth, maturity and stability, decline, and status before ‘death’ –
are reflected in the three following databases: journal articles (PubMed—
www.ncbi.nlm.nih.gov/pubmed); patents (US Patent Office—http://partfl1.
uspto.gov/netahtml/PTO/search-adv.htlm); and approved drugs (FDA –
www.accessdata.fda.gov/scripts/cder/drugsatfda/index/cfm). These data
bases are huge, from authoritative sources, correctly classified, and they
properly link different datasets. Analysis of such data can uncover hidden
patterns important for the assessment of drug status and may also yield some
predictions regarding its future prospects. Drug-related, publication-based
academic bibliographic records are especially numerous and support the
development of various scientometric indices. In combination with information
from other types of databases, they can outline various trends in pharmacol
ogy. Scientometric indices can be classified into those indicating a change in
the status of a drug, and those assessing the chances for success, or even drug
discontinuation. Here, we present big data analytics on publication-based
academic interest in two segments: (i) description of scientometric indices
and (ii) their applications for the assessment of the status of a drug.
قیمت: رایگان
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