PubMed/Preview, Index & History; Accessing Full-Text Articles (module 4.4)

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Presentation transcript:

PubMed/Preview, Index & History; Accessing Full-Text Articles (module 4.4)

Instructions - This part of the:  course is a PowerPoint demonstration intended to introduce you to PubMed/Preview, Index & History; accessing Full-Text Articles.  module is off-line and is intended as an information resource for reference use. MODULE 4.4 PubMed/Preview, Index & History; Accessing Full-Text Articles

Table of Contents  Using Preview/ Index in PubMed  Using the search History in PubMed  Accessing full text articles

HINARI Log-In 1 Before logging into PubMed, you must Login to the HINARI website using the URL

HINARI Log-In 2 You will need to insert your HINARI User Name and Password in the Login box and click on the Login button.

Access PubMed via HINARI From the main HINARI webpage, you can access PubMed by clicking Search HINARI journal articles through PubMed (Medline)

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

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

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

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

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.

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

Preview/Index 7 For the example, we will chose Zimbabwe/Epidemiology(828) from the Index list.

Preview/Index 8 Click on Go and we see that we have 828 articles ( ) with Zimbabwe/epidemiology in the record.

History 1 PubMed allows users to view previous searches through the History page. To access this page, click on the History link on the bar below the main PubMed query box.

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.

History 3 The result for the public health search is 3.6 million articles ( ). These can be viewed as a search set by clicking on the History tab.

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.

History 5 We can now search for malaria as a second search term from within the PubMed query box.

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

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.

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.

History 9 We now have articles ( ) with the concepts public health AND malaria. Click on the link to return to History.

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

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

History 12 The search has narrowed the results down further to 5384 articles ( ). Click on the link to return to the History page.

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

History 14 To clear the History, click on Clear History.

Linking to full text 1 We now will discuss accessing full-text articles. Enter the search chloroquine resistance in Africa.

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

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

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

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

Linking to full text 6 You will see an option to access full text. In this example if you select the full text link you, will get the full article in HTML format. If you select the PDF or Portable document Format, you will receive a scanned image of the article. This this example we will choose PDF.

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:

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. Note: This subset and the free full text[sb] one are similar to the MyNCBI filters used to create the HINARI and Free full text tabs that are displayed after a HINARI/PubMed search.

HINARI Subset 2 The results of the HINARI subset search is access to over 4 Million full text articles ( ). The HINARI tab also has this number and over 900,000 also are listed as Free full text.

HINARI Subset 3 Articles made available through HINARI will display the HINARI Icon next to the publishers’ link. You must use the Abstract display of PubMed.

HINARI Subset 4 If we enter the search loprovhinari[sb] AND tuberculosis, we will have full text access to all articles ( ) in the result set. Again, the same number is in the HINARI tab and over 4000 also are listed as Free full text.

Free full text Subset 1 PubMed have also created a free full text[sb] subset and these articles are available to anyone with access to PubMed.

Free full text Subset 2 When we run the free full text[sb] query, we have access to over 1.9 Million articles ( ). Note that over of these articles also are listed in the HINARI tab.

Loprovhinari and fft combined In this search, we have combined loprovhinari[sb] with free full text[sb] and have a total of over 5 Million articles – with some duplicates.

This is the end of Mudule 4 Part 4 This is the end of Module 4 Part 4. There is a Work Book 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. Updated