Related Research Articles
The Open Archives Initiative (OAI) was an informal organization, in the circle around the colleagues Herbert Van de Sompel, Carl Lagoze, Michael L. Nelson and Simeon Warner, to develop and apply technical interoperability standards for archives to share catalogue information (metadata). The group got together in the late late 1990s and was active for around twenty years. OAI coordinated in particular three specification activities: OAI-PMH, OAI-ORE and ResourceSync. All along the group worked towards building a "low-barrier interoperability framework" for archives containing digital content to allow people harvest metadata. Such sets of metadata are since then harvested to provide "value-added services", often by combining different data sets.
The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is a protocol developed for harvesting metadata descriptions of records in an archive so that services can be built using metadata from many archives. An implementation of OAI-PMH must support representing metadata in Dublin Core, but may also support additional representations.
Bibliometrics is the application of statistical methods to the study of bibliographic data, especially in scientific and library and information science contexts, and is closely associated with scientometrics to the point that both fields largely overlap.
Scientometrics is a subfield of informetrics that studies quantitative aspects of scholarly literature. Major research issues include the measurement of the impact of research papers and academic journals, the understanding of scientific citations, and the use of such measurements in policy and management contexts. In practice there is a significant overlap between scientometrics and other scientific fields such as information systems, information science, science of science policy, sociology of science, and metascience. Critics have argued that overreliance on scientometrics has created a system of perverse incentives, producing a publish or perish environment that leads to low-quality research.
IEEE Transactions on Information Theory is a monthly peer-reviewed scientific journal published by the IEEE Information Theory Society. It covers information theory and the mathematics of communications. It was established in 1953 as IRE Transactions on Information Theory. The editor-in-chief is Muriel Médard. As of 2007, the journal allows the posting of preprints on arXiv.
Market sentiment, also known as investor attention, is the general prevailing attitude of investors as to anticipated price development in a market. This attitude is the accumulation of a variety of fundamental and technical factors, including price history, economic reports, seasonal factors, and national and world events. If investors expect upward price movement in the stock market, the sentiment is said to be bullish. On the contrary, if the market sentiment is bearish, most investors expect downward price movement. Market participants who maintain a static sentiment, regardless of market conditions, are described as permabulls and permabears respectively. Market sentiment is usually considered as a contrarian indicator: what most people expect is a good thing to bet against. Market sentiment is used because it is believed to be a good predictor of market moves, especially when it is more extreme. Very bearish sentiment is usually followed by the market going up more than normal, and vice versa. A bull market refers to a sustained period of either realized or expected price rises, whereas a bear market is used to describe when an index or stock has fallen 20% or more from a recent high for a sustained length of time.
Citation impact or citation rate is a measure of how many times an academic journal article or book or author is cited by other articles, books or authors. Citation counts are interpreted as measures of the impact or influence of academic work and have given rise to the field of bibliometrics or scientometrics, specializing in the study of patterns of academic impact through citation analysis. The importance of journals can be measured by the average citation rate, the ratio of number of citations to number articles published within a given time period and in a given index, such as the journal impact factor or the citescore. It is used by academic institutions in decisions about academic tenure, promotion and hiring, and hence also used by authors in deciding which journal to publish in. Citation-like measures are also used in other fields that do ranking, such as Google's PageRank algorithm, software metrics, college and university rankings, and business performance indicators.
Citebase Search was an experimental, semi-autonomous citation index for free, online research literature created at the University of Southampton as part of the Open Citation Project. It harvested open access e-prints from OAI-PMH compliant archives, parses and links their references and indexes the metadata in a Xapian-based search engine. Citebase went live in 2005 and ceased operation in 2013.
The h-index is an author-level metric that measures both the productivity and citation impact of the publications, initially used for an individual scientist or scholar. The h-index correlates with success indicators such as winning the Nobel Prize, being accepted for research fellowships and holding positions at top universities. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications. The index has more recently been applied to the productivity and impact of a scholarly journal as well as a group of scientists, such as a department or university or country. The index was suggested in 2005 by Jorge E. Hirsch, a physicist at UC San Diego, as a tool for determining theoretical physicists' relative quality and is sometimes called the Hirsch index or Hirsch number.
Journal ranking is widely used in academic circles in the evaluation of an academic journal's impact and quality. Journal rankings are intended to reflect the place of a journal within its field, the relative difficulty of being published in that journal, and the prestige associated with it. They have been introduced as official research evaluation tools in several countries.
Social data analysis is the data-driven analysis of how people interact in social contexts, often with data obtained from social networking services. The goal may be to simply understand human behavior or even to propagate a story of interest to the target audience. Techniques may involve understanding how data flows within a network, identifying influential nodes, or discovering trending topics.
The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. As a measure of importance, the Eigenfactor score scales with the total impact of a journal. All else equal, journals generating higher impact to the field have larger Eigenfactor scores. Citation metrics like eigenfactor or PageRank-based scores reduce the effect of self-referential groups.
Derwent Capital Markets was a British investment company that was a pioneer in the use of social media sentiment analysis to trade financial derivatives. Derwent Capital Market's registered office was in London. The fund was quietly liquidated by 2013.
Michael J. Kurtz is an astrophysicist at Harvard University, He has held the title of Astronomer at the Center for Astrophysics | Harvard & Smithsonian since 1983, and the additional post of Computer Scientist at the Smithsonian Astrophysical Observatory since 1984. He is especially known both for his research into the distribution of galaxies, and for his creation of the Astrophysics Data System.
In scholarly and scientific publishing, altmetrics are non-traditional bibliometrics proposed as an alternative or complement to more traditional citation impact metrics, such as impact factor and h-index. The term altmetrics was proposed in 2010, as a generalization of article level metrics, and has its roots in the #altmetrics hashtag. Although altmetrics are often thought of as metrics about articles, they can be applied to people, journals, books, data sets, presentations, videos, source code repositories, web pages, etc.
The San Francisco Declaration on Research Assessment (DORA) is a statement that denounces the practice of correlating the journal impact factor to the merits of a specific scientist's contributions. Also according to this statement, this practice creates biases and inaccuracies when appraising scientific research. It also states that the impact factor is not to be used as a substitute "measure of the quality of individual research articles, or in hiring, promotion, or funding decisions".
Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors.
Professor Ralph Kenna was an Irish mathematician and theoretical physicist who was head of the statistical physics research group at Coventry University. He was a specialist in statistical physics, complex systems and Irish mythology.
Microsoft Academic was a free internet-based academic search engine for academic publications and literature, developed by Microsoft Research in 2016 as a successor of Microsoft Academic Search. Microsoft Academic was shut down in 2022. Both OpenAlex and The Lens claim to be successors to Microsoft Academic.
The Leiden Manifesto for research metrics (LM) is a list of "ten principles to guide research evaluation", published as a comment in Volume 520, Issue 7548 of Nature, on 22 April 2015. It was formulated by public policy professor Diana Hicks, scientometrics professor Paul Wouters, and their colleagues at the 19th International Conference on Science and Technology Indicators, held between 3–5 September 2014 in Leiden, The Netherlands.
References
- ↑ "Mesur – Homepage". Mesur.org. Archived from the original on 2013-12-01. Retrieved 2013-12-01.
- 1 2 Bollen, Johan; Mao, Huina; Zeng, Xiao-Jun (March 2011). "Twitter mood predicts the stock market". Journal of Computational Science. 2 (1): 1–8. arXiv: 1010.3003 . doi:10.1016/j.jocs.2010.12.007. S2CID 14727513.
- ↑ "Johan Bollen – CV" (PDF). Cs.odu.edu. Retrieved 2013-12-01.
- ↑ "News". Vub.ac.be. Archived from the original on 2013-12-03. Retrieved 2013-12-01.
- ↑ Assoian, Michael. "British hedge fund invests 25 million pounds for IU professor's Twitter research | Campus | Indiana Daily Student". Idsnews.com. Archived from the original on 2013-12-03. Retrieved 2013-12-01.
- ↑ "Investing in the social media age". GulfNews.com. 2013-09-15. Retrieved 2013-12-01.
- ↑ Johan Bollen at DBLP Bibliography Server
- ↑ Johan Bollen publications indexed by Google Scholar
- ↑ "not found" (PDF). public.lanl.gov. 2005. Retrieved July 27, 2024.
- ↑ Liu, Xiaoming; Bollen, Johan; Nelson, Michael L.; Van de Sompel, Herbert (1 December 2005). "Co-authorship networks in the digital library research community". Information Processing & Management. 41 (6): 1462–1480. arXiv: cs/0502056 . Bibcode:2005cs........2056L. doi:10.1016/j.ipm.2005.03.012. S2CID 2536130.
- ↑ Bollen, Johan; Pepe, Alberto; Mao, Huina (2009). "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena". arXiv: 0911.1583 [cs.CY].
- ↑ Bollen, Johan; Rodriquez, Marko A.; Van de Sompel, Herbert (1 December 2006). "Journal status". Scientometrics. 69 (3): 669–687. arXiv: cs/0601030 . doi:10.1007/s11192-006-0176-z. S2CID 8572274.
- ↑ Bollen, Johan; Van de Sompel, Herbert; Hagberg, Aric; Chute, Ryan; Mailund, Thomas (28 June 2009). Mailund, Thomas (ed.). "A Principal Component Analysis of 39 Scientific Impact Measures". PLOS ONE. 4 (6): e6022. arXiv: 0902.2183 . Bibcode:2009PLoSO...4.6022B. doi: 10.1371/journal.pone.0006022 . PMC 2699100 . PMID 19562078.
- ↑ Bollen, Johan; Van de Sompel, Herbert; Smith, Joan A.; Luce, Rick (1 December 2005). "Toward alternative metrics of journal impact: A comparison of download and citation data". Information Processing & Management. 41 (6): 1419–1440. arXiv: cs/0503007 . Bibcode:2005IPM....41.1419B. doi:10.1016/j.ipm.2005.03.024. S2CID 9864663.
- ↑ Bollen, Johan (8 August 2018). "Who would you share your funding with?". Nature. 560 (7717): 143. Bibcode:2018Natur.560..143B. doi:10.1038/d41586-018-05887-3. PMID 30089925. S2CID 51940867.
| International | |
|---|---|
| National | |
| Academics | |