Search Engine Optimization: A Survey of Current Best Practices
2013
- 4,850Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage4,850
- Downloads4,618
- 4,618
- Abstract Views232
Project Description
With the rapid growth of information on the web, search engines have become the starting point of most web-related tasks. In order to reach more viewers, a website must improve its organic ranking in search engines. This paper introduces the concept of search engine optimization (SEO) and provides an architectural overview of the predominant search engine, Google. This paper presents a conceptual framework for exploring various optimization guidelines, which can be categorized under four parts: keyword research, indexing, on-page optimization, and off-page optimization. Some worst practices, or ”black hat” approaches, to SEO are briefly discussed. The paper concludes with the future semantic web and how it can affect optimization techniques, such as link building.
Bibliographic Details
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