Wait for the processing to complete, and then save the file as GarfieldE.isi. The resulting file can be seen in Figure 4.2c.
Figure 4.2b2c: Saving Records from Web of Science
Figure 4.2c2d: View of saved GarfieldE.isi
After you have refined your search query to the WoS database, you will want to add records to your Marked List. To do this, you may select individual articles using the check boxes next to a publication record and then selecting the button, "Add to Marked List", see figure 4.3a.
Figure 4.3a2e: Locating the Marked List button on Web of Science
You may also add records to the Marked List using a range of publication records in a search result. To do this, select the "Add to Marked List" button in the search result page without adding marks to individual publication records. Next, a box will pop up in the screen that allows you to enter a range for the publication records that you are interested and then select the "Add" button, see figure 4.3b for a picture of this screen.
Figure 4.3b2f: Specifying a the range of records in a Marked List on Web of Science
You will notice that the publications you have selected in the search page will now have orange checks next to them, and the Marked List tab on the Navigation bar for the site will be updated to include the total number of records in your list. After you've completed adding publication records to your marked list you will want to visit the Marked List page. Click on the link in the navigation bar named "Marked List" that has an orange count box next to it, see figure 4.3c.
Figure 4.3c2g: Click the Marked List link in the navigation bar to access the Marked List page on Web of Science
Like direct data exporting, make sure to select the format option "Save to Other File Formats" and Plain Text. You will also be limited to exporting 500 records at a time, which means that you will have to combine data sets manually after downloading all publications (see for instructions here).
Figure 4.3d2h: Selecting data fields and exporting data from a Marked List
Elsevier's Scopus, like ISI Web of Science, has an extensive catalog of citations and abstracts from journals and conferences. Subscribers to Scopus can access the service via http://www.scopus.com. Scopus provides a multiple methods to search and analyze citations and abstracts: by document, authors, institutional affiliations, and advanced Boolean search.
To find all articles whose abstract, title, or keywords include the terms 'Watts Strogatz Clustering Coefficient', simply enter those terms in the Article/Abstract/Keywords field. Thirty-nine results were found as of February 3, 2014. You can download the references (up to 2,000 full records, and 20,000 "Citations Only" in a CSV file) by checking the 'Select All' box and clicking 'Export'.
Figure 4.42i: Scopus search interface and Scopus search results
At the export screen, select 'Comma separated file, .csv' (e.g. Excel) and select the types of information that you will need. For our purposes, select 'All available information' from the drop-down menus and choose 'Export'.
Save the file as WattsStrogatz.scopus. The resulting file can be seen in Figure 4.5.
Figure 4.52j: Saving records in Scopus and viewing WattsStrogatz.scopus
Google Scholar data can be acquired using Publish or Perish (Harzing, 2008) that can be freely downloaded from http://www.harzing.com/pop.htm. A query for papers by Albert-László Barabási run on Sept. 21, 2008 results in 111 papers that have been cited 14,343 times, see Figure 4.6.
Figure 4.62k: Publish or Perish search results for Albert-László Barabási and viewing barabasiPoP.csv
To download your Facebook data, open the Sci2 Tool and select the "Facebook" option in the file menu. In the next submenu, select the "Access Token" option. You may be asked to log into your account; afterwards, you will be redirected to a webpage that provides you with an access token. In your browser, right click on the grey text, choose "Select All", and then copy this text to your clipboard. Figure 4.7 demonstrates this process.
Fig. 4.72l: Use Sci2 to gain access and retrieval of Facebook Access Token
After you have copied your access token, return to the Sci2 Tool and the file menu. In the "Facebook" sub-menu, select either "Facebook Friends Data" or "Mutual Friends". A window will pop up, like in figure 4.8. Paste your access token into the text field and hit the "OK" button.
Fig 4.82m: Sci2 Tool's Facebook Friends Data and Mutual Friends data load windows with access tokens
Funding data provided by the National Science Foundation (NSF) can be retrieved via the Award Search site (http://www.nsf.gov/awardsearch). Search by PI name, institution, and many other fields, see Figure 4.9.
Figure 4.92n: NSF 'Award Search' interface and search results page
Funding data provided by the National Institutes of Health (NIH), and associated publications and patents, can be retrieved via the NIH RePORTER site (http://projectreporter.nih.gov/reporter.cfm). The database draws from eRA, Medline, PubMed Central, NIH Intramural, and iEdison. Search by location, PI name, category, etc., see Figure 4.10.
Figure 4.102o: NIH RePORTER search interface and search results page
Figure 4.112p: Graph of the numbers of records published each year by various organizations
Register to get a free account or use 'Email: firstname.lastname@example.org' and 'Password: nwb' to try out functionality.
Search the four databases separately or in combination for 'Creators' (authors, inventors, investigators) or terms occurring in 'Title,' 'Abstract,' or 'All Text' for all or specific years. If multiple terms are entered in a field, they are automatically combined using the Boolean operator 'OR.' Entering 'breast cancer' will match any record with 'breast' or 'cancer' in that field. Using the Boolean operator AND (for example, 'breast AND cancer') would only match records that contain both terms. Double quotations can be used to match compound terms, e.g., "breast cancer" retrieves records with the phrase "breast cancer," but not records where 'breast' and 'cancer' are present in isolation. The importance of a particular term in a query can be increased by putting a ^ and a number after the term. For instance, 'breast cancer^10' would increase the importance of matching the term 'cancer' by ten compared to matching the term 'breast.'
Figure 4.122q: Scholarly Database 'Home' page and 'Search' interface
Results are displayed in sets of 20 records, ordered by a Solr internal matching score. The first column represents the record source, the second the creators, third comes the year, then title and finally the matching score. Datasets can be downloaded in different subsets and formats for future analysis.
Figure 4.132r: Scholarly Database search results and download interfaces