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MODULE 4 How to use PubMed

MODULE 4 How to use PubMed. Part 4 – Preview/Index, History, combining search sets, accessing full text articles and restricting results to the HINARI subset of journals. Instructions

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MODULE 4 How to use PubMed

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  1. MODULE 4 How to use PubMed Part 4 – Preview/Index, History, combining search sets, accessing full text articles and restricting results to the HINARI subset of journals. Instructions This part of the course is a PowerPoint demonstration intended to give a guided tour of the PubMed interface. This part of the module is off-line and is intended as an information resource for reference use. This part of the module should be taken before using the live tutorial on PubMed and does not required a HINARI training password.

  2. Logging on to HINARI 1 Before logging into PubMed we can Login to the HINARI website using the URL http://www.who.int/hinari

  3. HINARI Log-In 2 We will need to insert our HINARI User ID and Password in the Login box and click on the “Sign On” button.

  4. Main HINARI webpage From the main HINARI webpage we can access PubMed from the “Find articles” link in the body of the webpage. Click on Search for HINARI journal articles through PubMed (Medline).

  5. Preview/Index 1 Click on the Preview/Index link below the query box on the main PubMed page.

  6. Preview/Index 2 Preview will show the last three search terms and the results with set numbers indicated by the # symbol.

  7. Preview/Index 3 Index allows you to query the PubMed database and see all the occurrences of a term and the number of records in the database.

  8. Preview/Index 4 In this example we will query the index for the term “Zimbabwe”. Click on the “Index” button.

  9. Preview/Index 5 Results of the Index query are displayed in the box. Each occurrence of the term is listed with the number of articles listed in parentheses.

  10. Preview/Index 6 To select from the list click on each term as required. To make multiple selections hold down the Ctrl key. Following selection from the list click on the AND, OR, NOT button to send the term to the main PubMed query box.

  11. Preview/Index 7 For this example we have chosen “Zimbabwe/epidemiology(672)” from the index list.

  12. Preview/Index 8 Click on “Go” and we see that we now have 672 articles with “Zimbabwe/epidemiology” in the record.

  13. History 1 PubMed allows us to view previous searches through the “History” page. To access the History page click on the History link on the bar below the main PubMed query box.

  14. History 2 To build a search using History begin by putting in your broadest search term. In this example we will use “public health” as our main concept.

  15. History 3 The result for the public health search is 2814155 articles. These can be viewed as a search set by clicking on the “History” link.

  16. History 4 On the History page our first set is given a set number identified by the # symbol, in this example it is #1. On the right-hand side of the page the number of articles is shown under the “Result” column.

  17. History 5 We can now search for “malaria” as a second search term from within the query box on the History page.

  18. History 6 As in the previous result the malaria search can also be viewed by returning to the History page.

  19. History 7 The malaria search has now been given a set number #2. The number of articles in the set is shown on the right-hand side of the page.

  20. History 8 To combine “public health” with “malaria” we can use the set numbers. To combine using “AND” enter the search statement “#1 AND #2”

  21. History 9 We now have 12141 articles with the concepts “public health” AND “malaria”, click on the link to return to “History”.

  22. History 10 Our search “#1 AND #2” is now identified as #3

  23. History 11 We can narrow our search down further by combining our #3 (public health and malaria) with “Africa”.

  24. History 12 The search has narrowed the results down further to 3944. Click on the link to return to the History page.

  25. History 13 Set #4 is now “public health AND malaria AND Africa”

  26. History 14 To clear the history click on “Clear History”.

  27. Linking to full text 1 If we enter a new search “chloroquine resistance in Africa”

  28. Linking to full text 2 Here the results default to the “Summary” display

  29. Linking to full text 3 Change the display to “Abstract” from the dropdown menu.

  30. Linking to full text 4 From the Abstract display links to full text publishers’ resources are shown near the top of the record.

  31. Linking to full text 5 When we arrive at the article on the publishers’ site we will see some authentication displayed on the page.

  32. Linking to full text 6 There is an option to access full text. In this example if we select the full text link we will get the full article in HTML format. If we select the PDF or Portable Document Format we will receive a scanned image of the article. In this example we will choose PDF.

  33. Full text PDF documents Here is a PDF document. To download a PDF document you will need a copy of the Adobe Acrobat program which can be download freely from the Adobe website. http://www.adobe.com

  34. HINARI Subset 1 PubMed have created a subset of journals for HINARI. To access this subset enter “loprovhinari[sb]” in the query box and click on the “Go” button.

  35. HINARI Subset 2 The results of the HINARI subset search is access to over 1.5 Million full text articles.

  36. HINARI Subset 3 Articles made available through HINARI will display the HINARI icon next to the publishers’ link.

  37. HINARI Subset 4 If we enter the search “loprovhinari[sb] AND tuberculosis”, we will have full text access to all 6277 articles in the result set.

  38. Free full text Subset 1 PubMed have also created a “Free full text[sb]” subset, these articles are available to anyone with access to PubMed.

  39. Free full text Subset 2 When we run the free full text[sb] we have access to over 670000 articles.

  40. Free full text Subset 3 In this example we have combined “free full text[sb] AND malaria”. The result is over 2500 full text articles available to anyone with access to PubMed.

  41. Combining subsets We can combine the HINARI journals with the “free full text” subset. To do this enter the following search statement “loprovhinari[sb] OR free full text[sb]”. The result is access to over 2 million articles.

  42. Limiting to full text Using the History function we can now combine our free full text and HINARI result, set #1, with a search term such as malaria. Enter “#1 AND malaria”.

  43. Full text results The result is that a HINARI eligible researcher already has access to over 6225 articles on malaria.

  44. This is the end of Module 4 Part 4 This is the end of Module 4 Part 4. There is a workbook to accompany this part of the module. The workbook will take you through a live session covering the topics included in this demonstration with working examples.

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