New Contents Slavistics: A Journal Indexing Service

1983 ◽  
Vol 27 (3) ◽  
pp. 374
Author(s):  
Howard H. Keller
Keyword(s):  
Indexing Service

W.P.A. Newspaper Clipping and Indexing Service

1937 ◽  
Vol 6 (3) ◽  
pp. 284-287
Author(s):  
Harold E. Blinn
Keyword(s):  
Indexing Service

scholarly journals P05.15. Online indexing service for research articles published on Ayurveda

2012 ◽  
Vol 12 (S1) ◽  
Author(s):  
R Manohar ◽  
S Eranezhath ◽  
A Mahapatra ◽  
S Manohar R
Keyword(s):  
Research Articles ◽  
Indexing Service

scholarly journals Article Keyword Selection

2020 ◽  
pp. 268-269
Author(s):  
Dr. Abduelbagi D.A Altayb, MRCP.
Keyword(s):  
Academic Standards ◽  
Reference List ◽  
Medical Sciences ◽  
Medical Field ◽  
Work Related ◽  
Essential Idea ◽  
Indexing Service ◽  
Standard Term ◽  
Minor Part

Keyword selection is the second Sudan Journal of Medical Sciences short guidance piece on the international academic standards. As a Section Editor at SJMS, I am honored to be invited to write in this series. In future, I can see SJMS leading the way to improving the publishing standards in Sudan's medical field. And with the current practice and unique services that SJMS provides for their readers and authors, it marks its step to be one of the best regional journals in the discipline. The Importance of Keywords As authors, we aspire to share our work among the readers in our field and get appropriately cited. Here comes the volume for the authors' keywords. The first journey for each manuscript begins with a literature review in which the indexing databases such as Scopus and PubMed are searched for any present work related to our ideas. This ends by the citation of most of those works in our reference list. It is curial to select your keywords so that it acts as a promoter for your work among your colleagues. Apart from being used by the indexing service to classify your work, keywords for the publisher and the editorial board serve as a guidance for choosing the referee for your article and your paper's subject. How to choose your keyword? First, make a list of words from the manuscript, which you believe represents the work's essential idea. They could also be a phrase (e.g., colon cancer). Most researchers use sentences or phrases in search engines. Do not use words from your title, as this will decrease the chances of the article appearing during the logarithmic search. There is also a word generator engine like MeSH on Demand, a google keyword planner. Each journal has its own maximum number of keywords; for SJMS, the number of keywords are specified according to the article types. Next, have a look at the standard term used for indexing in the medical field (MeSH, PsycInfo, and others) and ensure that the keyword of your choice is listed there. Lastly, go through the standard search engine used commonly by professionals in your field and type it to see if the same titles as yours come up. To publish means to be known. I believe each article's minor part deserves the same input as a significant section.

scholarly journals Dark Research: information content in many modern research papers is not easily discoverable online

2015 ◽  
Author(s):  
Ross Mounce
Keyword(s):  
Service Providers ◽  
Scientific Progress ◽  
High Volume ◽  
Google Scholar ◽  
Short Paper ◽  
Research Information ◽  
Scholarly Journals ◽  
Search Terms ◽  
Indexing Service

Background: Research is published in indexed, online scholarly journals so that published knowledge can be easily found and built upon by others. Most scholars rely on relatively few online indexing service providers to search for relevant scholarly content. It is under-appreciated that the quality of indexing can vary across different journals and that this can have an adverse effect on the quality of research. Objective: In this short paper I compare the recall of commonly used online indexers; Google Scholar, Web of Knowledge, Scopus, Microsoft Academic Search and Mendeley Search against a selection of over 20,000 papers published in two different high-volume journals: PLOS ONE and Zootaxa. Results: When using Google Scholar, content in Zootaxa has low recall for search terms that are known to occur in it, significantly lower than the near-perfect recall of the same terms in PLOS ONE. All other indexers tend to have lower recall than Google Scholar except Scopus which outperformed Google Scholar for recall on Zootaxa searches. I also elaborate why Dark Research is undesirable for optimal scientific progress with some recommendations for change. Conclusion: This research is a basic proof-of-concept which demonstrates that when searching for published scholarly content, relevant studies can remain hidden as ’Dark Research’ in poorly-indexed journals, even despite expertise-informed efforts to find the content. The technological capability to do full text indexing on all modern scholarly journal content certainly exists, it is perhaps just publisher-imposed access-restrictions on content that prevents this from happening.

A Microblog Classification Scheme Based on Partial Indexing

2013 ◽  
Vol 380-384 ◽  
pp. 1927-1930
Author(s):  
Bai Rong Wang ◽  
Jing Bo Yuan ◽  
Ji Hao Yang
Keyword(s):  
New Media ◽  
Real Time ◽  
High Probability ◽  
Classification Scheme ◽  
Search Costs ◽  
Huge Amount ◽  
The Social ◽  
Indexing Service ◽  
Media Platform ◽  
Indexing Mechanism

As a new media platform, the social network like microblog has aroused wide concern in recent years. People become more and more interested in information from microblog. How to retrieval the huge amount of newly created contents in real time is the key issue of microblog, so real-time search is a scalable indexing service that microblog must provide. Analysis on Sina microbolg, a microblog classification and indexing process has been put forward on basis of partial indexing mechanism. Instead of indexing the whole dataset, a partial index is to index the records that may be queried with high probability. The classification scheme can effectively save the real-time search costs and obtain microblog data with high quality.

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