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Searching PubMed with Biopython
# you need to install Biopython:
# pip install biopython
# Full discussion:
# https://marcobonzanini.wordpress.com/2015/01/12/searching-pubmed-with-python/
from Bio import Entrez
def search(query):
Entrez.email = 'your.email@example.com'
handle = Entrez.esearch(db='pubmed',
sort='relevance',
retmax='20',
retmode='xml',
term=query)
results = Entrez.read(handle)
return results
def fetch_details(id_list):
ids = ','.join(id_list)
Entrez.email = 'your.email@example.com'
handle = Entrez.efetch(db='pubmed',
retmode='xml',
id=ids)
results = Entrez.read(handle)
return results
if __name__ == '__main__':
results = search('fever')
id_list = results['IdList']
papers = fetch_details(id_list)
for i, paper in enumerate(papers):
print("%d) %s" % (i+1, paper['MedlineCitation']['Article']['ArticleTitle']))
# Pretty print the first paper in full
#import json
#print(json.dumps(papers[0], indent=2, separators=(',', ':')))
@hongtao510

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@hongtao510 hongtao510 commented May 4, 2017

Have you encountered the issue that the server will cut you off after querying ~2000 IDs?

@ThitherShore

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@ThitherShore ThitherShore commented Jun 20, 2017

Should the Line 32, 33 be changed into:
for i, paper in enumerate(papers['PubmedArticle']): print("%d) %s" % (i+1, paper['MedlineCitation']['Article']['ArticleTitle']))

@nmagee

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@nmagee nmagee commented Jun 24, 2017

@ThitherShore is correct - I can verify that suggested fix makes this gist functional.

@lemonsoftltd

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@lemonsoftltd lemonsoftltd commented Aug 21, 2017

@hongtao510 we download 100 articles in an infinite loop. We see no blocking info since one week.

@BadrulAlom

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@BadrulAlom BadrulAlom commented Sep 17, 2017

Please update code with ThitherShore's comment.

@reiaoki

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@reiaoki reiaoki commented Feb 23, 2018

Whenever there is a "+" sing in the content (for example ArticleTitle or AbstractText), it returns a string only after the "+" sign. Does anyone have a way to get around this?
e.g. The title "The Clinicopathological and Prognostic Implications of FoxP3+ Regulatory T Cells in Patients with Colorectal Cancer: A Meta-Analysis." will return "+ Regulatory T Cells in Patients with Colorectal Cancer: A Meta-Analysis"

@TomazAlexandre

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@TomazAlexandre TomazAlexandre commented Apr 2, 2018

It looks like the format returned by the efetch method is slightly different now

If you replace papers with papers[‘PubmedArticle’] you should get the list or papers,

@makerspaze

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@makerspaze makerspaze commented Jun 4, 2018

@ThitherShore is correct we should use enumerate(papers['PubmedArticle']) instead of enumerate(papers)

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@gunnarklee gunnarklee commented Dec 16, 2019

for line 36

print(json.dumps(papers['PubmedArticle'][0], indent=2, separators=(',', ':')))
instead of:
print(json.dumps(papers[0], indent=2, separators=(',', ':')))

@prashantkum7

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@prashantkum7 prashantkum7 commented Mar 20, 2020

I get abstracts and not the full text. Any reason why?

@canthonyscott

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@canthonyscott canthonyscott commented Jul 14, 2020

I get abstracts and not the full text. Any reason why?

Pubmed does not contain full texts of papers. Abstracts only

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@MLTazim MLTazim commented Oct 22, 2020

How may I save the result in CSV, with Title and Abstract columns?

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