iCite Database Snapshot 2022-03

This is a database snapshot of the iCite web service (provided here as a single zipped CSV file, or compressed, tarred JSON files). In addition, citation links in the NIH Open Citation Collection are provided as a two-column CSV table in open_citation_collection.zip. iCite provides bibliometrics and metadata on publications indexed in PubMed, organized into three modules:

Influence: Delivers metrics of scientific influence, field-adjusted and benchmarked to NIH publications as the baseline.

Translation: Measures how Human, Animal, or Molecular/Cellular Biology-oriented each paper is; tracks and predicts citation by clinical articles

Open Cites: Disseminates link-level, public-domain citation data from the NIH Open Citation Collection

Definitions for individual data fields:

pmid: PubMed Identifier, an article ID as assigned in PubMed by the National Library of Medicine

doi: Digital Object Identifier, if available

year: Year the article was published

title: Title of the article

authors: List of author names

journal: Journal name (ISO abbreviation)

is_research_article: Flag indicating whether the Publication Type tags for this article are consistent with that of a primary research article

relative_citation_ratio: Relative Citation Ratio (RCR)--OPA's metric of scientific influence. Field-adjusted, time-adjusted and benchmarked against NIH-funded papers. The median RCR for NIH funded papers in any field is 1.0. An RCR of 2.0 means a paper is receiving twice as many citations per year than the median NIH funded paper in its field and year, while an RCR of 0.5 means that it is receiving half as many citations per year. Calculation details are documented in Hutchins et al., PLoS Biol. 2016;14(9):e1002541.

provisional: RCRs for papers published in the previous two years are flagged as "provisional", to reflect that citation metrics for newer articles are not necessarily as stable as they are for older articles. Provisional RCRs are provided for papers published previous year, if they have received with 5 citations or more, despite being, in many cases, less than a year old. All papers published the year before the previous year receive provisional RCRs. The current year is considered to be the NIH Fiscal Year which starts in October. For example, in July 2019 (NIH Fiscal Year 2019), papers from 2018 receive provisional RCRs if they have 5 citations or more, and all papers from 2017 receive provisional RCRs. In October 2019, at the start of NIH Fiscal Year 2020, papers from 2019 receive provisional RCRs if they have 5 citations or more and all papers from 2018 receive provisional RCRs.

citation_count: Number of unique articles that have cited this one

citations_per_year: Citations per year that this article has received since its publication. If this appeared as a preprint and a published article, the year from the published version is used as the primary publication date. This is the numerator for the Relative Citation Ratio.

field_citation_rate: Measure of the intrinsic citation rate of this paper's field, estimated using its co-citation network.

expected_citations_per_year: Citations per year that NIH-funded articles, with the same Field Citation Rate and published in the same year as this paper, receive. This is the denominator for the Relative Citation Ratio.

nih_percentile: Percentile rank of this paper's RCR compared to all NIH publications. For example, 95% indicates that this paper's RCR is higher than 95% of all NIH funded publications.

human: Fraction of MeSH terms that are in the Human category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)

animal: Fraction of MeSH terms that are in the Animal category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)

molecular_cellular: Fraction of MeSH terms that are in the Molecular/Cellular Biology category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)

x_coord: X coordinate of the article on the Triangle of Biomedicine

y_coord: Y Coordinate of the article on the Triangle of Biomedicine

is_clinical: Flag indicating that this paper meets the definition of a clinical article.

cited_by_clin: PMIDs of clinical articles that this article has been cited by.

apt: Approximate Potential to Translate is a machine learning-based estimate of the likelihood that this publication will be cited in later clinical trials or guidelines. Calculation details are documented in Hutchins et al., PLoS Biol. 2019;17(10):e3000416.

cited_by: PMIDs of articles that have cited this one.

references: PMIDs of articles in this article's reference list.

Large CSV files are zipped using zip version 4.5, which is more recent than the default unzip command line utility in some common Linux distributions. These files can be unzipped with tools that support version 4.5 or later such as 7zip.

Comments and questions can be addressed to [e-mail]

{'database_snapshot': '本数据集为iCite网络服务的数据库快照（提供单一压缩的CSV文件，或压缩、打包的JSON文件），此外，NIH开放引用集合中的引用链接以两列CSV表格形式提供于open_citation_collection.zip文件中。', 'iCite': 'iCite提供PubMed索引文献的计量学和元数据，并分为三个模块：', 'influence': '影响力模块：提供科学影响力的指标，经领域调整并与NIH出版物基准对比。', 'translation': '翻译模块：衡量每篇论文在人类、动物或分子/细胞生物学方面的倾向；跟踪和预测由临床文章引起的引用。', 'open_cites': '开放引用模块：传播来自NIH开放引用集合的链接级、公有领域引用数据。', 'definitions': '以下为单个数据字段定义：', 'pmid': 'pmid：PubMed标识符，由美国国家医学图书馆在PubMed中分配的文章ID。', 'doi': 'doi：数字对象标识符，如有。', 'year': 'year：发表年份。', 'title': 'title：文章标题。', 'authors': 'authors：作者名单。', 'journal': 'journal：期刊名称（ISO缩写）。', 'is_research_article': 'is_research_article：标志表示该文章的出版物类型标签是否与主要研究文章一致。', 'relative_citation_ratio': 'relative_citation_ratio：相对引用比率（RCR）——OPA的科学影响力指标。经领域调整、时间调整并与NIH资助的论文基准对比。', 'provisional': 'provisional：过去两年内发表的论文的RCR标记为“临时”，以反映较新文章的引用指标可能不如较老文章稳定。对于上一年发表的论文，如果它们已经收到了5次或更多引用，即使它们在很多情况下不到一年，也会提供临时RCR。上一年之前发表的论文均获得临时RCR。当前年份被视为NIH财政年度，该年度从10月开始。例如，在2019年7月（NIH财政年度2019年），如果2018年的论文有5次或更多引用，则它们将获得临时RCR，而2017年的所有论文都将获得临时RCR。在2019年10月，NIH财政年度2020年开始时，如果2019年的论文有5次或更多引用，则它们将获得临时RCR，而2018年的所有论文都将获得临时RCR。', 'citation_count': 'citation_count：引用该文章的独特文章数量。', 'citations_per_year': 'citations_per_year：自发表以来该文章每年收到的引用次数。如果该文章作为预印本和已发表文章出现，则使用已发表版本的年份作为主要出版日期。这是相对引用比率的分子。', 'field_citation_rate': 'field_citation_rate：该论文领域的内在引用率指标，使用其共引网络进行估计。', 'expected_citations_per_year': 'expected_citations_per_year：与该论文具有相同领域引用率和同年发表的NIH资助文章每年收到的引用次数。这是相对引用比率的分母。', 'nih_percentile': 'nih_percentile：该论文RCR相对于所有NIH出版物百分位排名。例如，95%表示该论文的RCR高于95%的NIH资助出版物。', 'human': 'human：属于人类类别的MeSH术语比例（占该文章的MeSH术语中属于人类、动物或分子/细胞生物学类别的比例）。', 'animal': 'animal：属于动物类别的MeSH术语比例（占该文章的MeSH术语中属于人类、动物或分子/细胞生物学类别的比例）。', 'molecular_cellular': 'molecular_cellular：属于分子/细胞生物学类别的MeSH术语比例（占该文章的MeSH术语中属于人类、动物或分子/细胞生物学类别的比例）。', 'x_coord': 'x_coord：文章在生物医药三角上的X坐标。', 'y_coord': 'y_coord：文章在生物医药三角上的Y坐标。', 'is_clinical': 'is_clinical：标志表示该论文符合临床文章的定义。', 'cited_by_clin': 'cited_by_clin：引用该文章的临床文章的PMID。', 'apt': 'apt：近似翻译潜力（Approximate Potential to Translate）是机器学习估计该出版物在后续临床试验或指南中被引用的可能性。', 'cited_by': 'cited_by：引用该文章的论文的PMID。', 'references': 'references：该文章参考文献列表中的文章的PMID。', 'zip_version': 'Large CSV files are zipped using zip version 4.5, which is more recent than the default unzip command line utility in some common Linux distributions. These files can be unzipped with tools that support version 4.5 or later such as 7zip.', 'comments': '有关评论和问题，请联系[e-mail]'}