Web of Science – Transcript

[website: Web of Science Core Collection database page https://library.carleton.ca/find/databases/web-science-core-collection]

Here we are at the landing page for Web of Science Core Collection.

Web of Science is a multidisciplinary database which includes journal articles, review articles, clinical trials, books, and more.

Web of science also includes a growing number of open access and pre-print publications, further expanding the reach of scientific literature that you can find.

I'm going to click the link titled "Web of Science Core Collection", which brings us to the database directly. If you are working from off campus, you may be prompted to enter your MyCarletonOne credentials first, to gain access.

The first thing you will notice is that I've already signed in here, at the top right corner of the screen. You can see this because it shows my name.

These credentials which I use to log into Web of Science are also the same credentials that I use for EndNote.

EndNote is a citation manager. This means that you can export results from Web of Science, along with most other databases, into EndNote.

EndNote will then generate your citations and bibliography for you, according to whichever citation style you choose.

The great thing about EndNote and Web a Science is that they're both run by the same company and so they seamlessly integrate with one another.

The first step I’d like to take is to change the field filter in the middle of the screen from ‘Topic’ to ‘All Fields’, so that our search will include all searchable fields within Web of Science results.

The search bar next to ‘All Fields’ is where we can begin to type in our search statement.

If you've reviewed the research tip sheet at the top of this Subject Guide, you will have a good understanding of how to develop a search statement.

For our research question, I am interested in examining the impact of vacuum packaging on the quality indicators of fresh pork over time, but want to exclude results discussing the process of modified air packaging, which is different from vacuum packaging.

If we break this research question down, we can identify four main concepts: vacuum packaging, pork, freshness, and modified air packaging

In order to keep our concepts clear as we search, I’m going to click the ‘+ Add row’ button in the middle of the screen three more times, giving us one row for each concept.

I will use the first row to address the concept of vacuum packaging, by typing the following:

vacuum OR “vacuum pack*”

The star, or truncation, takes the place of any other letters to follow, and so will find variations like packaged, packaging, and so on.

The quote marks, or phrase searching, will find two or more words always together.

In the second row, I will type in:

pork OR pig

In the third row, let’s type in:

quality OR fresh* OR shelf-life

And finally, I will type in:

map OR “modified air packaging”

--map being an acronym for modified air packaging.

Now I did say I wanted to exclude this final concept, and so at the start of this fourth line I’m going to change the AND operator to a NOT operator. This will ensure that none of our results refer to modified air packaging.

Having broken our research question into four distinct concepts, let’s click the ‘Search’ button at the bottom right.

At the top left of our results screen, we can see that 781 results have been found.

Before we start reviewing the results, I’m going to scroll down and apply some filters available to us on the left-hand side.

Let’s say I’m interested in publications from the past five years, and so under ‘Publication Years’ I will tick 2023, 2022, 2021, 2020, and 2019.

I’m also interested in journal articles specifically, and so the other filter I’m going to apply is ‘Article’ under ‘Document Types’.

We can see other filters available include ‘Review Articles’, and if we were to click on ‘See all’, this would give us even more document types to choose from.

For now, I’m going to click on the ‘Refine’ button to apply our filters.

We can see that our results have now dropped to 138.

In the middle of the screen we can begin to review our list of results with each instance of our keywords highlighted in yellow.

By default, they are sorted by ‘Relevance’, as we can see here toward the top-right, next to ‘Sort by’.

Sorting by ‘Relevance’ gives us what Web of Science thinks we would most likely be interested in, based on a number of factors including keyword occurrence and citation metrics.

When I click on the word ‘Relevance’, we can see that we also have the option to resort our results by newest or oldest first, and even by those results cited most often by other publications.

Let’s click on ‘Citations: highest first’.

You could make the case that since the results are now organized by how often they are cited by other researchers, we are arguably looking at the most influential results first.

In this case, the most cited result has been cited 58 times since its publication in 2019. However, we are seeing fewer keywords highlighted, and so it is worth experimenting with sorting, in order to find the best results. I think I prefer the ‘Relevance’ sort for today, and so I’ll again click on ‘Relevance’ next to ‘Sort by’.

Let’s click on the first result by clicking the title. On the next screen, we can see the title, authors, publication name, volume and issue numbers, publication date, and then our abstract.

LWT is the acronym of this journal’s former Swiss title.

Further down the screen we can see a list of keywords next to ‘Author keywords’, which are supplied by the authors. This can give us ideas for additional keywords we might want to add to our search.

‘Keywords Plus’ are generated based on words and phrases which appear in this article’s referenced sources.

Scrolling back up, another strategy to expand our reading list would be to see which subsequent publications have cited this paper by looking toward the top-right. In this case this paper has not yet been cited, but we could still explore the 48 ‘Cited References’ to review the source material that these authors have used in preparing their paper.

Thinking about it for a moment, we can trace how this particular article published in 2022 has cited 48 previous works. If it had been subsequently cited by other authors, we would be witnessing a timeline of how ideas evolve in the literature, article by article.

At this point I like the looks of this article. I’d like to export it to EndNote to add to my reading list, and have it available to cite if I use it in my paper.

I’m going to click on the ‘Export’ button near the top and choose ‘EndNote online’.

We are then presented with a drop-down menu, and I’m going to ensure the Author, Title, Source, and Abstract all get exported to my EndNote account, and click ‘Export’.

Since I’ve already logged in, this will seamlessly transfer this citation information into my EndNote account.

The last thing to consider is how do we get the full text of this article. This is where this red ‘Get it!’ button comes in at the top left.

Web of Science is excellent because it indexes the citation information, or metadata, from a large amount of research material, but unfortunately does not include the full text.

Clicking the red ‘Get it!’ button will search our other subscription databases to try and track down the full text for us.

In most cases it will bring us right through to the full text. However, if we don’t have access to the full text, it would suggest what is called an Interlibrary Loan request.

An Interlibrary Loan request will generate a request to other institutions around the world for an electronic version of the full text.

If it is available elsewhere, they will send it by email and it should be available for us within a few hours to a few days.

Interlibrary Loans is a free service which you can sign up for on the library’s home page.

In this case, there is also a link to the ‘Free Full Text from Publisher’, right next to our ‘Get it!’ button.

And so I hope this has been a helpful introduction to Web of Science, how to navigate the database, and how to search strategically.

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