WEBVTT 1 00:00:07.589 --> 00:00:18.359 Annette Mendoza: Thank you. Jonna. We will now take a look at author searching, as you would expect to search for an author, we will click on this authors tab here and enter the name of an author to search for. 2 00:00:18.900 --> 00:00:33.090 Annette Mendoza: Now, in an effort to stay abreast of the work that my colleagues are doing here at Galter I'm creating an author list so I can track their publications as they're indexed in Scopus. So I'm going to search for my colleague Pamela Shaw to add to the author list I have created 3 00:00:43.530 --> 00:00:56.010 Annette Mendoza: Now I have the option to add an affiliation here, but I'm not going to do that in order to get the broadest results possible. I also have the option to click down on this and search by ORCID. But we'll discuss that a little bit later. 4 00:00:56.790 --> 00:01:04.020 Annette Mendoza: So I'll click on search. And one of the highlights of Scopus is that it has a name disambiguation algorithm running in the background. 5 00:01:04.410 --> 00:01:14.160 Annette Mendoza: Now as you can see here when we search for Pamela Shaw, the database looks for all of the Pamela Shaws and groups the appropriate documents under each Pamela Shaw that it finds. 6 00:01:14.580 --> 00:01:26.550 Annette Mendoza: Now this seems like common sense, but other databases do not have this feature. Web of Science is working to improve their author search function, but in databases like PubMed there's no real name disambiguation. 7 00:01:27.180 --> 00:01:37.860 Annette Mendoza: You have to do that work yourself by combining author name with perhaps keywords or affiliation, and even then you may miss documents if an author has several affiliations that you're not aware of. 8 00:01:38.820 --> 00:01:52.380 Annette Mendoza: As you can see this list is sorted by the highest document count, we could change that right here by this drop down menu and choose any of these other ways to sort this this list. 9 00:01:53.040 --> 00:02:06.330 Annette Mendoza: The affiliation, the city and country is listed for every author on our list. And as Jonna noted previously, we can limit to or exclude in this left hand column to further limit our results. 10 00:02:07.200 --> 00:02:12.120 Annette Mendoza: As we look through list we find a Pamela Shaw here that has a Northwestern affiliation. 11 00:02:12.960 --> 00:02:24.750 Annette Mendoza: Underneath each of these authors, we can also click on View last title if you know the last thing that the author you're looking for his had indexed in Scopus. This is another way to identify the author that you're looking for. 12 00:02:25.890 --> 00:02:34.020 Annette Mendoza: If we hover over Pamela's name, we can see that it's linked to an author profile. This profile will help you evaluate if this is the author that you're looking for. 13 00:02:36.630 --> 00:02:42.540 Annette Mendoza: So when we go to this Pamela Shaw's profile, let me click here to see all author information. 14 00:02:47.190 --> 00:02:55.020 Annette Mendoza: It will load all of the affiliations, that this Pamela Shaw is listed with, the subject areas that this Pamela Shaw has published in 15 00:02:55.440 --> 00:03:01.140 Annette Mendoza: In Scopus the subject area is a controlled vocabulary of terms that are applied at the level of the journal 16 00:03:01.620 --> 00:03:08.580 Annette Mendoza: If an article was published in the multi disciplinary journal like Nature, Scopus will apply the subject area at the article level. 17 00:03:08.940 --> 00:03:18.420 Annette Mendoza: But if the journal is not multi disciplinary like the Journal of American College of Cardiology, Scopus will apply this subject level at the journal level. 18 00:03:18.780 --> 00:03:25.950 Annette Mendoza: So a journal can have up to six different subject areas which sometimes is why you'll see a number of different subject areas listed under an author. 19 00:03:27.000 --> 00:03:38.730 Annette Mendoza: Each author in Scopus is assigned an author identifier. If you know off of the Scopus IDs for a group, you can create a search string with all the IDs and search all those authors at one time. 20 00:03:40.590 --> 00:03:47.250 Annette Mendoza: There's also the option to look at the ORCID profile if the author has linked the ORCID profile. 21 00:03:48.300 --> 00:03:50.160 Annette Mendoza: Now a quick word about ORCID. 22 00:03:51.930 --> 00:03:58.740 Annette Mendoza: The scholarly community has realized the value of name disambiguation and would like to see it available outside of any single database. 23 00:03:59.100 --> 00:04:08.280 Annette Mendoza: Their effort to assistance movement, to assure that everyone gets credit for their work, has brought about the creation of the open researcher and contributor ID or ORCID. 24 00:04:08.820 --> 00:04:18.540 Annette Mendoza: ORCID has their own website, this is it, where you can sign up for an ID. This ID acts like a social security number for an author and helps disambiguate their papers from others. 25 00:04:18.870 --> 00:04:24.510 Annette Mendoza: So when they published in a journal or received grant funding, they're often asked to include their ORCID along with their name. 26 00:04:25.230 --> 00:04:31.170 Annette Mendoza: Other databases like Web of Science and PubMed, along with Scopus have made it possible to search by an ORCID. 27 00:04:31.590 --> 00:04:35.010 Annette Mendoza: Just keep in mind that ORCID was only established in around 2010 28 00:04:35.370 --> 00:04:46.560 Annette Mendoza: So if an author has published with their name only, or has not associated their ORCID with all of their work, you may not retrieve all of the documents with just an ORCID search. You can learn more about ORCID here on their website. 29 00:04:47.550 --> 00:05:01.500 Annette Mendoza: So as I mentioned this Pamela Shaw has attached her ORCID profile and we'll take a look at that. This is of benefit to the author, because the author can push publications from Scopus to their orchid profile. 30 00:05:02.940 --> 00:05:07.560 Annette Mendoza: So as we look at the ORCID profile, we can see that this is indeed the Pamela Shaw that we're looking for. 31 00:05:07.950 --> 00:05:25.440 Annette Mendoza: Pamela Shaw is a biosciences and bioinformatics librarian at the Galter Health Sciences Library. So fantastic, we've identified our author and this is who we're looking for. On this author profile page, I can add Pamela to my list of authors that I've created. If I click Save to list. 32 00:05:26.490 --> 00:05:32.820 Annette Mendoza: And then go to my author list here. I save the list and it will tell me that author was saved to my list. 33 00:05:36.240 --> 00:05:37.920 Annette Mendoza: And we'll look at that list a little bit later. 34 00:05:39.090 --> 00:05:50.370 Annette Mendoza: A few other things on this page, as Jonna noted, you can set alerts if you create a Scopus profile (account). Here I can set alerts that indicates when a document has been added to 35 00:05:51.660 --> 00:06:01.020 Annette Mendoza: Pamela's profile or when a citation has occurred to one of Pamela's documents. Pamela herself can set a citation alerts so she will know when someone else has cited her work. 36 00:06:01.650 --> 00:06:05.310 Annette Mendoza: Now a quick note to anyone in the audience who has worked indexed in Scopus 37 00:06:05.760 --> 00:06:16.950 Annette Mendoza: If you have a paper that you did not publish WITH YOUR ORCID, when you push it from Scopus to your ORCID profile, you will need to reconnect your ID each time. It's a bit redundant, but that's just how it works. 38 00:06:17.340 --> 00:06:27.240 Annette Mendoza: Also, if you look at the affiliations and you note they're not identical. Just know that Scopus simply lists the affiliations the way they're listed in the publication, they do not try to normalize them. 39 00:06:27.660 --> 00:06:36.150 Annette Mendoza: Now, there may be documents that are attributed to the wrong author, if you go down here to Edit Profile, you can notify Scopus, and they will help you make the corrections. 40 00:06:39.000 --> 00:06:48.120 Annette Mendoza: So now let's take a look at the documents that Pamela has indexed in Scopus. Please keep in mind that we will only see the documents that are that are indexed in Scopus. If Pamela has 41 00:06:48.360 --> 00:06:53.370 Annette Mendoza: published in journals that Scopus does not index, we will not see those articles here. 42 00:06:53.850 --> 00:07:02.370 Annette Mendoza: This will help explain why you see different metrics for an author, like citation count or h-index, when you look at different databases like PubMed or Google Scholar. 43 00:07:03.330 --> 00:07:15.240 Annette Mendoza: So if we scroll down here we see the 16 documents that are attributed to Pamela. The 1486 documents that sit, these 16 documents. 44 00:07:15.660 --> 00:07:22.290 Annette Mendoza: New to Scopus, they will list preprints that Pamela has out there, she has none,but if she did this is where we would see them. 45 00:07:22.800 --> 00:07:34.020 Annette Mendoza: We can see the 62 coauthors that Pamela has worked with and the topics associated with that. I just want to show you a slight difference, if we go back to our author list. 46 00:07:34.560 --> 00:07:43.890 Annette Mendoza: And I can either click on the box in front of Pamela's name and hit show documents or I can click on this hyperlinked "16" which will take us to those same documents. 47 00:07:44.940 --> 00:07:58.110 Annette Mendoza: The information we see is a slight bit different. We see the 16 documents that are attributed to Pamela, but if we want to see the documents that are citing the 16 documents we have to select them all and then hit View cited by 48 00:07:58.950 --> 00:08:03.360 Annette Mendoza: Here you'll see it's the same 1486 documents, but this is how you get to that. 49 00:08:04.710 --> 00:08:06.300 Annette Mendoza: If we go back again we see 50 00:08:06.810 --> 00:08:19.350 Annette Mendoza: What Scopus calls secondary documents. A secondary document is a document that has been extracted from a Scopus document reference list, but it's not available directly in the Scopus database, since it is not indexed by Scopus. 51 00:08:19.560 --> 00:08:27.180 Annette Mendoza: That's what this little icon indicates. So Scopus searched all of the reference lists that it could see for Pamela Shaw and this is the list they came back with. 52 00:08:28.080 --> 00:08:37.050 Annette Mendoza: Finally, in this view, we can see the patents that our Pamela Shaw may or may not have been involved with. You do have to do some checking to see if this has been attributed to the correct Pamela Shaw. 53 00:08:38.130 --> 00:08:40.740 Annette Mendoza: So let's go back to our author details page. 54 00:08:47.400 --> 00:08:56.550 Annette Mendoza: Just as Jonna had mentioned, we can look at these documents in the search results format. And then these lists can be downloaded, exported or saved 55 00:08:56.970 --> 00:09:05.700 Annette Mendoza: in all the ways that Jonna had talked about. Same with the citing documents. I mentioned here, she has no preprints, but if Pamela did this is where they would be. 56 00:09:06.210 --> 00:09:11.280 Annette Mendoza: Now the 62 co-authors may be of interest to you if you're looking for possible collaboration opportunities. 57 00:09:11.730 --> 00:09:18.510 Annette Mendoza: We can look at these author profiles and the documents they co-authored with Pamela here. So that's a great way to find other authors. 58 00:09:19.170 --> 00:09:29.070 Annette Mendoza: And finally in topics, a Scopus topic is a collection of documents with a common interest, and it's clustered based upon direct citation analysis using document references lists. 59 00:09:29.580 --> 00:09:41.07 Annette Mendoza: A document can only belong to one topic. As newly published documents are indexed, they're added to topics using the reference list. Now this makes topics dynamic and most will increase in size over time. 60 00:09:41.820 --> 00:09:48.420 Annette Mendoza: So let's say I knew that Pamela was involved in this document about emergency health service, first aid, road traffic. 61 00:09:48.630 --> 00:10:04.830 Annette Mendoza: And I wanted to know more about this topic. If I click on this, it will give me other documents that are representative of this topic, it will tell me the top authors in this topic, so I could look at their profiles, and also provide you with the key phrase analysis. Let's see here. 62 00:10:06.360 --> 00:10:07.590 Annette Mendoza: Which isn't loading. 63 00:10:08.640 --> 00:10:09.630 Annette Mendoza: There's the table. 64 00:10:11.040 --> 00:10:17.850 Annette Mendoza: Oh, there's the word cloud. So that's sort of a fun thing if you're looking for a keyword topic analysis on this topic. That's a great way to see it. 65 00:10:19.230 --> 00:10:22.710 Annette Mendoza: And it's just a great way to find more out about a specific topic. 66 00:10:24.660 --> 00:10:30.630 Annette Mendoza: Now one last thing we going to look at before we go is the author list that I have created, as I mentioned, I can click up here to list. 67 00:10:31.560 --> 00:10:38.910 Annette Mendoza: Look at my author list, and sure enough, there is Pamela. This is list of authors at Galter that I'm tracking their publications 68 00:10:39.240 --> 00:10:45.540 Annette Mendoza: This is great if you're supporting a department and you're trying to keep abreast of when things are indexed in Scopus 69 00:10:45.840 --> 00:10:57.150 Annette Mendoza: Now, from this screen, I could analyze all of these authors and receive metrics on the group as a whole if I show these documents. Another great thing I can do here is I can set one alert. 70 00:10:58.980 --> 00:11:03.810 Annette Mendoza: For this entire group of authors, so that way I don't have to set a separate alert to get 71 00:11:04.290 --> 00:11:15.120 Annette Mendoza: notifications about this group individually, I can set one notification. And then when I get that email it could be a reminder to send out a tweet or mention it in a department newsletter. 72 00:11:15.330 --> 00:11:20.790 Annette Mendoza: It's just a great way to stay stay abreast of how quickly things are getting indexed in these databases. 73 00:11:23.190 --> 00:11:24.960 Annette Mendoza: So now let's do another author search 74 00:11:26.310 --> 00:11:31.860 Annette Mendoza: We're going to take a look. Oh, and here's where you would search for the ORCID right here. If you click on that. That's where you enter the ORCID ID. 75 00:11:32.700 --> 00:11:41.100 Annette Mendoza: But we're going to search for another author, David Cella, he is the Chair of Medical Social Sciences and he's published a significant number of articles. 76 00:11:43.200 --> 00:11:54.510 Annette Mendoza: If I look up David, once again I could add an affiliation, I'm not going to do that, just so we get the broadest results possible. And sure enough, we see that there are two David Cellas listed. Now, let's say, 77 00:11:55.920 --> 00:12:00.690 Annette Mendoza: We took a look at these articles and realize that they're in fact the same David Cella we could 78 00:12:02.190 --> 00:12:12.270 Annette Mendoza: Select all and then we could request to merge these authors. Now as I'm not David Cella, I'm not going to do that, but this is a way that we can look at all of the documents if they're listed under more than one ID. 79 00:12:12.960 --> 00:12:26.070 Annette Mendoza: If I hit show documents here I can see that both IDs are listed and, as you can see, the results format is similar to what we've seen. The functionality across Scopus is the same no matter how you get to the documents which is really helpful. 80 00:12:27.840 --> 00:12:31.560 Annette Mendoza: Now, if I take a look at these I can 81 00:12:33.150 --> 00:12:34.890 Annette Mendoza: Analyze the search results 82 00:12:38.040 --> 00:12:47.640 Annette Mendoza: here and this would give us a number of charts and graphs that are very interesting that you can use them presentations. The number of documents per year, by source, 83 00:12:49.080 --> 00:13:03.180 Annette Mendoza: by author, by affiliations. If I wanted to take this graphic and download it, I can just click Export here and you can get it as a CSV or you can get it as a zip file. And the great thing about that is that it provides you, 84 00:13:05.760 --> 00:13:07.440 Annette Mendoza: once it downloads we can take a look, 85 00:13:13.530 --> 00:13:19.710 Annette Mendoza: it provides you with a JPEG, a PDF, a PNG, and an SVG. So then you can download this into some other documents. 86 00:13:21.600 --> 00:13:26.040 Annette Mendoza: That's one way to analyze those results, especially when you have multiple authors or multiple 87 00:13:27.120 --> 00:13:28.590 Annette Mendoza: IDs that you need to combine. 88 00:13:32.310 --> 00:13:50.100 Annette Mendoza: Now a few words about author level - Oh, one other thing we can do here. Before I forget, is we can scroll down to the bottom of these documents and we can click on this export refine and this will provide us with a CSV file of all the information, it looks like this. 89 00:13:51.510 --> 00:14:01.080 Annette Mendoza: For you to create your own charts and graphs. So if you didn't want to use them from Scopus, you could create this file and then use Excel tools to create your own graphics. 90 00:14:02.520 --> 00:14:11.100 Annette Mendoza: Okay. Now, a few words about author level metrics, Scopus does provide quite a bit of information on this regard. If we select all the documents and then hit 91 00:14:12.270 --> 00:14:27.300 Annette Mendoza: view citation overview. This will allow us to look at the total number of citations that David Cella has received, as well as the number of citations per year. We can include or exclude self citations. Here we go. 92 00:14:28.830 --> 00:14:37.830 Annette Mendoza: And this is really helpful. Like you're doing some work and you need to know specific information about how this author or how their work advancing their 93 00:14:39.180 --> 00:14:42.990 Annette Mendoza: Subject matter or how well cited they are. 94 00:14:44.490 --> 00:14:53.940 Annette Mendoza: If I want to see I can look right here at David Cella's H index. It's 138, which means 138 of his papers have been cited 138 times. 95 00:14:54.270 --> 00:15:03.990 Annette Mendoza: Now this metric should be used with some caution as it is not field normalized. You would expect someone in the field of cardiology to have a higher H index and someone in the field of library science 96 00:15:04.260 --> 00:15:07.830 Annette Mendoza: simply because the publishing practices in those two fields are very different. 97 00:15:08.250 --> 00:15:14.640 Annette Mendoza: Point of time in a career will also affect an H index, early career researchers will have a lower H index than later career researchers. 98 00:15:15.090 --> 00:15:25.230 Annette Mendoza: And finally, the h index will be inconsistent when you look at it and compare it from database to database, simply because databases only know about the documents and citations within their own universe. 99 00:15:25.980 --> 00:15:36.690 Annette Mendoza: Another thing here. If I wanted to look at the documents that cited David Cella in let's say 2017 I can click on that hyperlink number here. I could also have clicked on it here. 100 00:15:38.280 --> 00:15:50.370 Annette Mendoza: And this shows us that the 962 selected documents are cited 6069 times in 2017 by 3913 documents. This is important to know because 101 00:15:50.760 --> 00:16:03.180 Annette Mendoza: This list has been deduplicated, which has really have a great value to you. That way you don't get a bunch of duplications, you don't have to worry about that in EndNote or anything else. So if you were to download this list, it's already deduplicated. 102 00:16:08.280 --> 00:16:11.220 Annette Mendoza: And let's go back to David's list of documents here. 103 00:16:18.420 --> 00:16:29.760 Annette Mendoza: This is currently sorted by highly cited documents. So if we look at one of his more highly cited documents and click on that we can see some article level metrics. I mentioned that topic. 104 00:16:30.480 --> 00:16:43.920 Annette Mendoza: Scopus topic, and this tells this tells you about the topic prominence and this talks about how topics are unique and then how you learn about how prominent a topic is currently in the research landscape. 105 00:16:44.670 --> 00:16:49.830 Annette Mendoza: If we look over here. Oh, one other thing I'll show you if I scroll down, Jonna talked about 106 00:16:50.880 --> 00:16:58.500 Annette Mendoza: The different terminology that's associated with this. If you wanted to look for additional terminology in a document this has EMTREE, if I look 107 00:16:59.310 --> 00:17:13.830 Annette Mendoza: at a different article, go back one. We'll see if they can find any MeSH terms here. So if you're looking for other things to search on this might be a great place to look for other terms that you could add to your search strategy to increase your results output. 108 00:17:15.450 --> 00:17:24.630 Annette Mendoza: But once again, if I want to look at the metrics for a particular article, I can click on this view, there's some available here. But if you do view all metrics you can see the details. 109 00:17:25.050 --> 00:17:37.380 Annette Mendoza: This shows us the citation count for this one article and how many times it's been cited per year. It also gives us some citation benchmarking to compare it to other articles in the same subject area, in the same year. 110 00:17:37.950 --> 00:17:47.430 Annette Mendoza: We see that this is in the 99th percentile, which means it's highly cited unfortunately doesn't tell us what subject area that's being benchmarked in, so that's a little bit challenging 111 00:17:47.880 --> 00:18:03.660 Annette Mendoza: We also see the field weighted citation impact. This tells us how well this document is cited when it's compared to similar documents. Any value greater than one means the document is more cited than expected. So, this particular document being 222 is obviously extremely highly cited. 112 00:18:04.980 --> 00:18:08.310 Annette Mendoza: We can go down a little further and look at some alternative metrics. 113 00:18:08.820 --> 00:18:17.340 Annette Mendoza: Alternative metrics are just metrics that are outside of traditional citation metrics. PlumX is one of the aggregator companies that tracks alternative metrics. 114 00:18:17.670 --> 00:18:25.500 Annette Mendoza: You might also be familiar with Altmetric and the Almetric donut. PlumX here shows us citation counts, usage counts, capture counts and mentions 115 00:18:26.070 --> 00:18:37.800 Annette Mendoza: And if we click on this see details it will open another window that gives us additional detail and we could take a look at the different articles, the citations, some of the other mentions that it's received 116 00:18:40.140 --> 00:18:40.410 117 00:18:47.790 --> 00:19:03.240 Annette Mendoza: We also can see some information about Mendeley. Mendeley is an online bookmarking software that is also owned by Elsevier and these products are all interconnected, which is a great way to keep track and look at these metrics for these different articles. 118 00:19:06.000 --> 00:19:12.810 Annette Mendoza: I think that's all I needed to talk about as far as author searching. One thing to keep in mind is that 119 00:19:14.970 --> 00:19:26.070 Annette Mendoza: The best way to get to know and become familiar with any database is to use it. Scopus does provide quite a bit of information with regard tutorials and other help. So if you're not 120 00:19:26.760 --> 00:19:34.530 Annette Mendoza: at a poing of time in the day when you can get a hold of a librarian, you can look to Scopus for answers available right on their website. 121 00:19:35.010 --> 00:19:44.790 Annette Mendoza: I will reiterate what Jonna said about creating an account. Creating an account in these databases does allow you extra functionality and there's no charge to you to create an account. 122 00:19:45.090 --> 00:19:54.630 Annette Mendoza: So I really recommend doing that, if this is something that you feel like you'll be using frequently and you want to save things and keep them available to you for longer periods of time, then the 123 00:19:56.010 --> 00:19:57.330 Annette Mendoza: session that you're working on. 124 00:19:59.340 --> 00:20:06.600 Annette Mendoza: I think that's all I have for now. Jonna, was there anything else that we needed to mention about Scopus or searching that I've missed? 125 00:20:08.520 --> 00:20:12.780 Jonna Peterson: Thanks Annette, I don't think so. I think you covered all of it. 126 00:20:14.640 --> 00:20:20.190 Jonna Peterson: So I'm going to say thank you to everybody for joining us. And I'm going to go ahead and stop the recording.