|Country||United Kingdom - SIR Ranking of United Kingdom||
|Subject Area and Category||Computer Science|
Computer Science Applications
Statistics, Probability and Uncertainty
Statistics and Probability
Library and Information Sciences
|Publisher||Nature Publishing Group|
|Scope||Scientific Data is a peer-reviewed, open-access journal for descriptions of scientifically valuable datasets, and research that advances the sharing and reuse of scientific data. We aim to promote wider data sharing and reuse, and to credit those that share. Scientific Data primarily publishes Data Descriptors, a new type of publication that provides detailed descriptions of research datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. Data Descriptors focus on helping others reuse data, rather than testing hypotheses, or presenting new interpretations, methods or in-depth analyses. Scientific Data also welcomes submissions describing analyses or meta-analyses of existing data, and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research. Scientific Data offers a streamlined but thorough peer-review process that evaluates the rigour and quality of the experiments used to generate the data and the completeness of the description of the data. The actual data are stored in one or more public, community-recognized repositories, and release of the data is verified as a condition of publication. Scientific Data is open to submissions from a broad range of natural science disciplines, including, but not limited to, data from the life, biomedical and environmental science communities. Submissions may describe big or small data, from new experiments or value-added aggregations of existing data, from major consortiums and single labs. We are also willing to consider descriptions of quantitative datasets from the social sciences, particularly those that may be of use for integrative analyses that stretch across the traditional discipline boundaries between the life, biomedical, environmental and social sciences.|
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The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.
|Computer Science Applications||2015||Q1|
|Computer Science Applications||2016||Q1|
|Computer Science Applications||2017||Q1|
|Computer Science Applications||2018||Q1|
|Computer Science Applications||2019||Q1|
|Library and Information Sciences||2015||Q1|
|Library and Information Sciences||2016||Q1|
|Library and Information Sciences||2017||Q1|
|Library and Information Sciences||2018||Q1|
|Library and Information Sciences||2019||Q1|
|Statistics and Probability||2015||Q1|
|Statistics and Probability||2016||Q1|
|Statistics and Probability||2017||Q1|
|Statistics and Probability||2018||Q1|
|Statistics and Probability||2019||Q1|
|Statistics, Probability and Uncertainty||2015||Q1|
|Statistics, Probability and Uncertainty||2016||Q1|
|Statistics, Probability and Uncertainty||2017||Q1|
|Statistics, Probability and Uncertainty||2018||Q1|
|Statistics, Probability and Uncertainty||2019||Q1|
The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.
This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.
|Cites per document||Year||Value|
|Cites / Doc. (4 years)||2014||0.000|
|Cites / Doc. (4 years)||2015||4.702|
|Cites / Doc. (4 years)||2016||6.137|
|Cites / Doc. (4 years)||2017||7.177|
|Cites / Doc. (4 years)||2018||7.645|
|Cites / Doc. (4 years)||2019||8.289|
|Cites / Doc. (3 years)||2014||0.000|
|Cites / Doc. (3 years)||2015||4.702|
|Cites / Doc. (3 years)||2016||6.137|
|Cites / Doc. (3 years)||2017||7.177|
|Cites / Doc. (3 years)||2018||7.418|
|Cites / Doc. (3 years)||2019||7.705|
|Cites / Doc. (2 years)||2014||0.000|
|Cites / Doc. (2 years)||2015||4.702|
|Cites / Doc. (2 years)||2016||6.137|
|Cites / Doc. (2 years)||2017||6.707|
|Cites / Doc. (2 years)||2018||6.693|
|Cites / Doc. (2 years)||2019||5.927|
Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.
Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.
|External Cites per document||2014||0|
|External Cites per document||2015||4.404|
|External Cites per document||2016||6.009|
|External Cites per document||2017||6.909|
|External Cites per document||2018||7.152|
|External Cites per document||2019||7.636|
|Cites per document||2014||0.000|
|Cites per document||2015||4.702|
|Cites per document||2016||6.137|
|Cites per document||2017||7.177|
|Cites per document||2018||7.418|
|Cites per document||2019||7.705|
International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.
Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.
Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.