Another new Citation Impact tool on Scopus data: Scimago

Declan Butler, Free journal-ranking tool enters citation market, Nature News, January 2, 2008. Excerpt:

A new [OA] Internet database lets users generate on-the-fly citation statistics of published research papers for free. The tool also calculates papers’ impact factors using a new algorithm similar to PageRank, the algorithm Google uses to rank web pages. The open-access database is collaborating with Elsevier, the giant Amsterdam-based science publisher, and its underlying data come from Scopus, a subscription abstracts database created by Elsevier in 2004.

The SCImago Journal & Country Rank database was launched in December by SCImago,

Thomson is also under fire from researchers who want greater transparency over how citation metrics are calculated and the data sets used. In a hard-hitting editorial published in Journal of Cell Biology in December, Mike Rossner, head of Rockefeller University Press, and colleagues say their analyses of databases supplied by Thomson yielded different values for metrics from those published by the company (M. Rossner et al . J. Cell Biol. 179, 1091–1092 ; 2007). Thomson, they claim, was unable to supply data to support its published impact factors. “Just as scientists would not accept the findings in a scientific paper without seeing the primary data,” states the editorial, “so should they not rely on Thomson Scientific’s impact factor, which is based on hidden data.”

It also includes a new metric: the SCImago Journal Rank (SJR).

The familiar impact factor created by industry leader Thomson Scientific, based in Philadelphia, Pennsylvania, is calculated as the average number of citations by the papers that each journal contains. The SJR also analyses the citation links between journals in a series of iterative cycles, in the same way as the Google PageRank algorithm. This means not all citations are considered equal; those coming from journals with higher SJRs are given more weight. The main difference between SJR and Google’s PageRank is that SJR uses a citation window of three years. See Table 1

I tested some testing on the marketing research subfield of business and management (see screenshot). I ranked the list according to total cites over the last 3 years.

Scimago for marketing field

SJR versus JCR:

Let’s take the highest ranked journal form Scimago: Journal of Marketing (sjr 0,107) and compare it with the JCR citation trend. JOM has the higest impactfactor i the ISI subjectcategory Business for 2006. So in general this would mean that the best journals come up equally. But it remains a situation of comparing apples and oranges because the subject categories differ between Scopus and ISI. So the relative position of a journal is different in the two measure systems.

JOM citation trend JCR

Authoratory: find an expert in any field

Authoratory is a unique database of contact information, professional interests, social connections and funding of thousands of leading scientists. The content of Authoratory is produced by a computer program analyzing large amounts of data from PubMed. PubMed is a service of the U.S. National Library of Medicine that includes over 16 million citations from MEDLINE and other life science journals for biomedical articles back to the 1950s. PubMed includes links to full text articles and other related resources.

Authoratory software data-mining techniques make it possible to discover new information about the authors – the information that is not apparent by reviewing one or two of their articles. For each selected author Authoratory gives the following:

  • the author status: primary or non-primary (primary author publishes articles independently, while non-primary always publishes articles with another author or a group of authors)
  • the list of most frequent coauthors (navigate the social network between the authors using their join publications)
  • professional interests (as indicated by the MeSH keywords and by the statistical analysis of abstracts and publication titles)
  • the author’s affiliated institution and contact information
  • the change of all these parameters across time

Authoratory keyword search is unique as well. It uses keyword frequencies to rank authors against each other. The more papers the particular author publishes for a specific keyword, the higher his rank is in the keyword listings. With Authoratory keyword search it ’s possible to quickly find all authors with expertise in a specific narrow topic.

HISTCITE™; Bibiliographic Analysis and Visualization Software

HistCite is a flexible software solution to aid researchers in visualizing the results of literature searches in the Web of Science. It is easy, fast, and provides perspectives and information not available from the Web of Science.

HistCite can create clear and informative data tables and graphs in an HTML format readable in a web browser. Go here see examples of HistCite output. HistCite also outputs data in tables and publication-quality graphs.

HistCite is a software implementation of algorithmic historiography, and has been developed by Dr Eugene Garfield, founder of the Institute for Scientific Information and the inventor of citation analysis. Go here for a bibliography of papers on algorithmic historiography.

HistCite software is scheduled for commercial release in early 2007. If you want to learn more about HistCite and to get information about when it becomes available, please use the feedback form.

Click here for a Flash demo of the main features of HistCite.

What Can I Do With HistCite?

HistCite has many applications. Here are some of them:

Identify the key literature in a research field
By analyzing the results of a keyword search you can identify:

  • papers important to the development of the topic

  • important papers “missed” by your keyword search

  • most prolific and most cited authors and journals

  • other keywords that can be used to expand the collection

Analyze publication productivity and citation rates within a collection of research papers
Compare characteristics such as:

  • countries and institutions that authors publish from

  • most prolific and most cited authors within the groups

  • citation statistics for groups and subgroups (mean and median citation rates of papers, number of authors per paper, etc.)

Reconstruct the history and development of a research field
Analyze the content of an author search and you can find:

  • highly cited articles

  • important co-author relationships

  • earlier publications and documents important to the development of the author’s work

  • time line of the authors’ publications

  • view historiographs showing the key papers and timeline of a research field.