Submitted by Bob Belford on Mon, 11/06/2017 - 18:55
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G1

COMBINING ANSWERS

  1. SUMMARY  

Query Builder => click History Tab in the Right Panel => click, drag, drop the relevant answers => change Operator if needed => click Search Documents, Search Substances or Search Reactions as appropriate.

  1. GRAPHIC SUMMARY

Work Flow: G1-Combining Answers

  1. GENERAL COMMENTS

In general, searches for multiple concepts in Reaxys may be done:

  • Simultaneously  (queries in several querylets are set up and searched in one step)
  • Sequentially (a more general search is done first, answers are browsed, then additional querylets are set up and searched)

The advantage of the former approach is that final answers may be found more quickly.

The advantage of the latter approach is that you can focus on obtaining the “best” answer set for each concept (e.g., what synonyms and truncation to use), and can combine the answer sets later.

For text searches, there really are only a few issues to consider:

  • Choice of search term (including whether to include a specific search term/concept or not)
  • Having decided that whether to add synonyms (and which ones)
  • Truncation of terms (although truncation is simply a method to include a number of ‘synonyms’ (such as singulars/plurals/tenses of verbs and so forth)
  • Whether to focus on index terms (systematic) or author terms (generally not systematic)
  • Proximity of terms in fields/subfields

However, all of the above can be put simply:  text/concept searching is all about concepts and their synonyms and proximity

… and either a simultaneous or sequential approach may be used.

This workflow shows the simple steps that need to be taken to combine answer sets.  

  1. EXAMPLE

Find studies on the association of gut microbiomes with depression, anxiety, stress, trauma (and so forth)

  1. THOUGHT PROCESS

The three concepts in this example are ‘gut’, ‘microbiomes’, and terms relating to ‘depression’.  It possibly is better to search the first two concepts together, and then combine answers with the last concept.

However, even a simple query such as this may be approached in different ways, e.g., with different synonyms and different proximity operators.

  1. DETAILS
  1. In Query Builder, load two Document Basic Index querylets (see Workflow QB2)
  2. In one Document Basic Index querylet enter: ‘contains’  gut; intestin   and in a second enter: ‘contains’  microbiom; microbiot; microflor

  (‘contains: microbio’ was not used since it was decided not to search terms such as ‘microbiology’)

  1. Combine these querylets with the NEAR operator
Fig.1:  Querylets to search for the concepts ‘gut’ and ‘microbiomes’.  Operator AND has been changed to NEAR in order to increase search precision.
Fig.1:  Querylets to search for the concepts ‘gut’ and ‘microbiomes’.  Operator AND has been changed to NEAR in order to increase search precision.

 

  1. Click Search Documents 

Over 25,000 Document Records are obtained (Fig.2)

 

 Fig.2:  Part of answer set obtained from query shown in Fig.1
Fig.2:  Part of answer set obtained from query shown in Fig.1

 

  1. Go back to Query Builder, clear any querylets and load a new Document Basic Index querylet
  2. Enter: ‘contains’ depress;anxi;stress;trauma

 

Fig.3:  Querylet to search for the concept ‘depression’
Fig.3:  Querylet to search for the concept ‘depression’

 

  1. Click Search Documents

Note: While inclusion of the term ‘stress’ causes a large number of hits to be retrieved, most irrelevant documents will be removed when the search is combined with a search for the ‘gut microbiome’ concept.

Over 3 million Document Records are obtained (Fig.4)

 

Fig.4:  Part of answer set obtained from query shown in Fig.4.  While this answer set contains many irrelevant answers particularly relating to the search term ‘stress’, most of these irrelevant answers will be removed when the answers are combined with answers from the search in Fig.1
Fig.4:  Part of answer set obtained from query shown in Fig.3.  While this answer set contains many irrelevant answers particularly relating to the search term ‘stress’, most of these irrelevant answers will be removed when the answers are combined with answers from the search in Fig.1

 

  1. Click Query Builder, and after removing any querylets in the workspace, click the History Tab.
  2. Click (or click, drag, drop) answer sets to load them in the workspace
  3. (Optionally) Change the operator to NEAR

 

Fig.5:  Query to combine answer sets shown in Fig.2 and Fig.4
Fig.5:  Query to combine answer sets shown in Fig.2 and Fig.4

 

  1. Click Search Documents

A precise set of answers are obtained (Fig.6).  These may be further narrowed, e.g., by Publication Year (to obtain most recent records).

 

 Fig.6:  Part of answer set from combined search shown in Fig.5
Fig.6:  Part of answer set from combined search shown in Fig.5

 

Note an alternative approach would be to Search Reaxys: gut with microbiomes with depression (or Search Reaxys: gut microbiome* depression) then click Edit in Query Builder for some of the options listed, and modify the query – essentially along the lines discussed below). 

 

  1. YOUTUBE

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