Hi, I'm Gary Eckstein. When I'm not working as a marketer,
I'm a PhD student at the University of Southern Queensland here in Australia. As per
all students i guess particularly if you're a research student or a master's student you'll
need to do literature reviews to understand the literature can be very time consuming particularly
if you have a lot of literature a lot of papers to or books for that matter to review you might
have seen that let me show you an example you might have seen various various reviews
or papers that have these incredible charts that really bring out the meaning in a whole lot of
different papers like this for example like that chart and so on now just so you're aware that's
where those charts come from the good news is it's really simple to use technology to analyze your
papers and I'm going to show you now how we can do that very very simply without any coding needed
I'm going to show you how they created for example these different charts and how they analyzed
the the various literature using something called Bibliometrics don't worry Bibliometrics is an
R package and R is a coding language i guess you could call it but again as I've said we don't need
coding I'm going to show you how to do this how to get incredible results without coding knowledge
whether you have yeah 10 you know 10 10 papers in your corpus or or 10 000 or 100 000
you can really make sense of it with a tool like Bibliometrics
i recommend you watch this tutorial in its entirety and I'm going to go fairly fast
through it and then go back and follow the various steps also in the description of this tutorial
I'll i'll put a link where you can see the various things you might need to copy and paste and so on
so just just follow along again I'm going to go fairly quickly the first thing we need to
do is install R again don't worry it is a coding language yes but it's actually just a few clicks
so what you need to do is come to the R home page if you're on windows such as myself but
but you can do it for linux or mac os as well you would go download R for windows
and you would install the base and and as as uh as described binaries this is what you want
to install or if you're installing for the first time so that's what you want to do
what you'll do is is once you download R you'll have an executable file on your computer
if you're on windows and all you need to do is double click that and install
using the defaults just install it you don't need to do anything else no coding knowledge needed
once you've installed that once you've installed R you come across to rstudio.com
then if we come to under open store source, sorry, under products open source RStudio,
if you click on that and if you scroll down a little bit, you'll notice that you can download
either the open source edition or the desktop pro edition. Honestly, it's up to you I've installed
the open source edition, but both the open source and the RStudio desktop pro will work well for
you, and it really depends on, on your needs, so what you would do in that case is you would
just download our studio and again as per any application you'll just double click it accept the
defaults and install it that's it so now you've installed something called R which is the coding
language you've installed something called our studio which we just need to do in this case
what we want to do now what we need to do and this is a once-off so, so downloading the steps we've
just done so far as a oneself you only need to ever do it once or on each computer you're using
we now need to install what's called the packages into our or the Bibliometrics package
it's very simple don't worry so in your computer just search for our studio because
it would have now been installed and I'll just click on it the RStudio app, and it'll open up
we'll just wait for this to open up very quickly.
Right, what we need to do now is on the left-hand side as we look at the screen under console,
we just need to install two packages here, so the first one, we're just going to start
typing the install dot packages, and as you can see on the screen there and all we do is
click enter on your keyboard various messages will come up don't worry too much about that,
and something called shiny will now be installed we'll just wait for that to finish
which it has now once that is finished we're going to install, and this is just a one-off so just
bear with me why is this not copying and pasting it'll just take one second sorry um okay so now
we need to install something called Bibliometrics again a once off so I'm just going to click enter
I've just pasted it in there I'm going to click enter, and it'll install Bibliometrics
we'll wait for this to finish, okay it's finished nice and easy, so we don't need to do these steps
that we've just done again as I've said, those are for the first time let's go away now what
you need to do now is go and get your a bib text file which is a file type of references I guess
and in this case I'm going to use Web of Science I find Web of Science uses it works very well uh
for the analyses you can use Scopus as well, but I'll be demonstrating using uh Web of Science
so, for example, let's say we want uh we want to know we want to analyze all documents with a title
of uh let's put in here um marketing mix with marketing mix, and you build your own criteria
with the title contains marketing mix and let's add a date range of say
let's just do let's do a custom from 2010 what is the format they want here 01 for the month and
let's just go one, and I'll just copy and paste this uh, and let's just do that up into 2022
for example, okay, and we'll just perform our search so you would obviously do this
for your topic or the papers you want you can refine that search etc etc
once you've refined your search and discovered the number of documents you want in this case
we've got 274 but you might have 20,000 or however many what you need to do is click export
and then BibTeX so export BibTeX
what you want to do here is select all your records, so in this case, 1 to 274, I should have
said rather that the first thing you need to do is come on to sorry come on come to uh record content
click the down arrow sorry I just I'm just going to quickly just I'm going to click the down arrow
make sure you select full record and cited references so full record and cited references so
you can see you can export up to 500 records at a time, in this case, I could just download the one
file, but if you have more than 500 records you would need to download multiple BibTeX
files, in other words, you were putting here one to five hundred, and then
you would do that export again and then put five hundred and one to one thousand the next one will
be one thousand one to one thousand five hundred and and and do multiple files, but in this case,
it's just one, so I'll click export, and that'll export to my computer in, in very short time
it doesn't take too long okay so you now have a
what's called a bib file which is what we need a bib text file just to side track a little bit
if you have less if you only have one bib file that you needed to download in other words 500
records or less you don't need to take this step I'm about to go into but if you have more than 500
files we need to combine those multiple files it's actually really simple to combine
bib files all you need to do is open your files in a notepad or or a similar notepad editor
and just copy and paste all the entries from your multiple files into one single bib file
so for example here's the the document I, uh, I downloaded a few seconds ago if i open this in for
example in a notepad editor I'm using notepad plus plus but it could be any one you can see
there's a whole lot of entries in here so what you would need to do is you would just select all the
entries copy them paste them into a new file with a dot bib extension so your what we're looking
for then is your eventual file will have all your records in there so if you had a thousand records
in your original search from Web of Science your final file will have all those 1000 records in it
right just going back
so we did the one software we installed
R, we installed RStudio, we then installed the various the two different packages we needed, the
shiny package and the Bibliometrics package, so going forwards, every time you need to analyze
your data, you're going to do this because you don't need to do those other steps except
from Web of Science export your bib file and have a single bib file
so to start up the GUI or the easy way of using without having to use our coding the
easy way of using uh Bibliometrics the package called Bibliometrics
the first thing we're going to do is do this
library and then brackets Bibliometrics, and I'm going to click enter, and I'm in RStudio again,
by the way, just doing that okay, so then we want to open something called Biblioshiny
I'm just going to click enter on that, and you'll notice that immediately in my, in my web browser
Bibliometrics is opening, and now we don't need to use code what we need to do now is load that
that bib file we have so we click on data
we click on load data, so I'm just going to move a few things around on my screen
now this is important under import or load if you click the down arrow
click this import raw file
and then yes, it's Web of Science we use, so we're just going to leave it as Web of Science
I then will browse to find my file I'll click open oh, sorry, I'll click open
once the upload is complete, we click start, so that's loading your bib file your data
into Bibliometrics and we'll just wait a second while that happens there's a lot of data there
to use Bibliometrics is unbelievably simple I'm not going to go through everything I'll
just go through it you know relatively quickly so because we've got our data here we can do
different things we can go into filter um we could click run, and we can search on different data
for example, but this is where it gets more and more powerful so going,
going back to those sort of those beautiful charts and the actual analysis of the data
let's do this let's go into I'm just trying to think sources let's go into sources
let's go into most relevant sources uh we always have options or most of the time we have options
to the right of the screen so you can change those as you see fit and you'll always click run to run
the actual query so in this case we're looking for the most relevant sorry excuse me sources
and we can see that the journal of marketing has has published seven times with that search
we did in in Web of Science sorry so journal of marketing is published seven times and these are
the other ones sustainability five etc etc etc uh lots of other stuff let's look at the conceptual
structure if we go into thematic map we can choose the field if it's author's keywords we can even go
into titles and do things like diagrams etc but let's go into authors keywords we'll click run
let's see what comes up okay and we can here see which are emerging or declining themes and
so on uh you can change the very various text editing of course you can also view different
uh or create different views of it you can also see the tables of the data and so on now on the
table if you want to export for your analysis in excel or to include in your literature review you
can just export to excel for for example or to csv on these various maps if you want to
get the graphics and I'll go back to that paper we looked at such as that all they've done is they've
in Bibliometrics they've hovered and then clicked download plot as png that's it so they've clicked
download plot and it's opened and then copy and pasted it into microsoft word or similar but you
can go through all this once you've finished with Bibliometrics it's quite as simple as just closing
the browser window and if you really want to you can also close our studio and I'm going to do that
to demonstrate i won't say for now I'm going to click don't save so going forwards next time and i
have mentioned this a few times but going forwards all you need to do in the future is you can either
use that existing exported file from um from Web of Science for example or you can do a new search
and export your file once again as a bib text file get it into a single bib file then you will open
our studio so I'm just looking for R studio you open our studio then you will put in your two
search criteria not really sure why my pasting isn't working just give me one second sorry um
there we go, so in the future, you don't need to install,
um, you know, biometrics or install the packages again all you need to do is
put in these two commands, click enter, and you'll notice that in, in a few seconds time
my browser will open with Bibliometrics and again what you would do is just load your data and you
can analyze your data and include it that's how simple it is please like this video share it with
your colleagues so they can benefit as well but thanks for joining me. I'm Gary Eckstein.