Note: This repository is a contruction site! In general, things should work and are tested but at this stage, I cannot guarantee anything.
The goal of this repository is to create a tool that creates a normalised citation output based on any identifier that refers to a publication. The idea is to gather information using different freely available APIs.
import citation_normalisation as cn
# COCONUT Examples
test_list = ['Morvan-Bertrand,Physiol Plant,111,(2001),225',
'20512739',
'10.1021/ol502216j']
references = []
for test_ID in test_list:
print(cn.get_final_dict_from_ref_str)
> {'Morvan-Bertrand,Physiol Plant,111,(2001),225': {'reference': 'Morvan-Bertrand et al., Physiologia Plantarum, 2001, 111 (2), 225',
'DOI': '10.1034/j.1399-3054.2001.1110214.x',
'PMID': None}}
> {'20512739': {'reference': 'Sheu et al., J Environ Sci Health B, 2010, 45 (5), 478',
'DOI': '10.1080/03601231003800347',
'PMID': '20512739'}}
> {'10.1021/ol502216j': {'reference': 'Grudniewska et al., Organic Letters, 2014, 16 (18), 4695',
'DOI': '10.1021/ol502216j',
'PMID': None}}
Workflow:
- Detect DOI:
- Retrieval of information via Metapub or Crossref with DOI
- Detect PMID (only works if the input only is the PMID, RegEx for any number would be too unspecific and dangerous.)
- Retrieval of information via Metapub with PMID
- No success with DOI/PMID:
- Retrieval of information via Crossref with given keyword
- String query based retrieval is only accepted if all of the information is also found in parsed input string
