PubMed PMCentral Integrative Medical Literature Search on Moremed.org

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==Background==
 
==Background==
It is not new to run a biomedical search query on PubMed and a comlimentary on PubMedCentral. Theses medical literature databases cover different sets of life sciences journals, PubMed displaying one part of the peer-reviewed medical publications by a complex process of reviewing the single journals impact on integrity of science to be selected for inclusion or, often, to be rejected (i.E. german Zeitschrift für Rheumatologie is lacking). PMCentral wants anything available in the realms of open-access publication to be included for a sensitivity-skewed roc of inclusion. Beyond these facts of wide overlapping portfoilios, the method from query to results is different in that PubMed looks into specified genral purpose data fields like Title or Abstarct of the paper whereas PMCentral runs a whole document search which leads to a more unspecific collections of identified items with a higher sensitivity, of course.
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It is not new to run a biomedical search query on PubMed and a complimentary on PubMedCentral. Theses medical literature databases cover different sets of life sciences journals, PubMed displaying one part of the peer-reviewed medical publications by a complex process of reviewing the single journals impact on integrity of science to be selected for inclusion or, often, to be rejected (i.E. german Zeitschrift für Rheumatologie is lacking). PMCentral wants anything available in the realms of open-access publication to be included for a sensitivity-skewed roc of inclusion. Beyond these facts of wide overlapping portfolios, the method from query to results is different in that PubMed looks into specified general purpose data fields like Title or Abstract of the paper whereas PMCentral runs a whole document search which leads to a more unspecific collection of identified items with a higher sensitivity, of course.
 
==Idea==
 
==Idea==
One search term should run on both engines and the results should be lumped together to omit the vast amaounts of pseudoduplicate records, i.e. double hits. This procedure needs a quite long script-running time on a php server which makes it difficult to implicate.  
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One search term should run on both engines and the results should be lumped together to omit the vast amounts of pseudoduplicate records, i.e. double hits. This procedure needs a quite long script-running time on a php server which makes it difficult to implicate.  
 
==Solution==
 
==Solution==
The solution is to run first the PubMed search, then to identify those records which have a PMC identifier number and to mark them as PMC items.  
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First, you will run a PubMed search via [http://www.moremed.org moremed.org]. Results are shown in parts containing each up to 150 records which are free and which are not free by checking the sb flag. There is a print out button to read the title lists off-line, and there is a next-page link to open the next page. This will be done according to the total no. items identified. Once done, the Next Page link will open automatically the same search, now run on PMCentral, with output pages of 500 items each. Records which have been uniquely identified in PMCentral are shown in bold, normal letters, Items which wre included in the foregoing PubMed collection are shown in slight italic font face.
If a user wants only to run a pubmed search, he gets the full retrieval.
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Things found on a PubMed TIAB-fields search will be dogmatically found on a PMCentral full document fulltext search, so nothing gets lost if the user doesnt care for those items which carry a PMC tag just before the paper title in the results list.
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The PubMedCentral search will be run from the same basic accessing page to complete the task.
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'''Sorry, if there appears a NOT operator, the recordset nottoshow would be a bigger one in the fulltext than in the tiab way and many of the results in pubmed would not reappear in the pmc output. I have to make new program code, sure.'''
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Thats all folks.
  
==Reminescences==
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Screenshots will follow soon.
I wanted to make such a php code today, but, after reviewing the concept behind and the site currently running, i can state, the work has already been done !
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Revision as of 19:02, 31 May 2016

Background

It is not new to run a biomedical search query on PubMed and a complimentary on PubMedCentral. Theses medical literature databases cover different sets of life sciences journals, PubMed displaying one part of the peer-reviewed medical publications by a complex process of reviewing the single journals impact on integrity of science to be selected for inclusion or, often, to be rejected (i.E. german Zeitschrift für Rheumatologie is lacking). PMCentral wants anything available in the realms of open-access publication to be included for a sensitivity-skewed roc of inclusion. Beyond these facts of wide overlapping portfolios, the method from query to results is different in that PubMed looks into specified general purpose data fields like Title or Abstract of the paper whereas PMCentral runs a whole document search which leads to a more unspecific collection of identified items with a higher sensitivity, of course.

Idea

One search term should run on both engines and the results should be lumped together to omit the vast amounts of pseudoduplicate records, i.e. double hits. This procedure needs a quite long script-running time on a php server which makes it difficult to implicate.

Solution

First, you will run a PubMed search via moremed.org. Results are shown in parts containing each up to 150 records which are free and which are not free by checking the sb flag. There is a print out button to read the title lists off-line, and there is a next-page link to open the next page. This will be done according to the total no. items identified. Once done, the Next Page link will open automatically the same search, now run on PMCentral, with output pages of 500 items each. Records which have been uniquely identified in PMCentral are shown in bold, normal letters, Items which wre included in the foregoing PubMed collection are shown in slight italic font face.

Thats all folks.

Screenshots will follow soon.

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