The Kitchin Research Group

import requests
import json

resp = requests.get("http://pub.orcid.org/0000-0003-2625-9232/orcid-works",
                    headers={'Accept':'application/orcid+json'})
results = resp.json()

data = []
TITLES, DOIs = [], []

badge = "<div data-badge-type='medium-donut' class='altmetric-embed' data-badge-details='right' data-doi='{doi}'></div>"
scopus_cite = "<img src=\"http://api.elsevier.com/content/abstract/citation-count?doi={doi}&amp;httpAccept=image/jpeg&amp;apiKey=5cd06d8a7df3de986bf3d0cd9971a47c\">"
html = '<a href="https://doi.org/{doi}">{title}</a>'

print '<ol>'
for i, result in enumerate( results['orcid-profile']['orcid-activities']
                            ['orcid-works']['orcid-work']):
    title = str(result['work-title']['title']['value'].encode('utf-8'))
    doi = 'None'

    for x in result.get('work-external-identifiers', []):
        for eid in result['work-external-identifiers']['work-external-identifier']:
            if eid['work-external-identifier-type'] == 'DOI':
                doi = str(eid['work-external-identifier-id']['value'].encode('utf-8'))

    # AIP journals tend to have a \n in the DOI, and the doi is the second line. we get
    # that here.
    if len(doi.split('\n')) == 2:
        doi = doi.split('\n')[1]

    pub_date = result.get('publication-date', None)
    if pub_date:
        year = pub_date.get('year', None).get('value').encode('utf-8')
    else:
        year = 'Unknown'

    # Try to minimize duplicate entries that are found
    dup = False
    if title.lower() in TITLES:
        dup = True
    if (doi != 'None'
        and doi.lower() in DOIs):
        dup = True

    if not dup and doi != 'None':
        # truncate title to first 50 characters
        print('<li>' + html.format(doi=doi, title=title)
              + badge.format(doi=doi) + scopus_cite.format(doi=doi)
              + '</li>\n')

    TITLES.append(title.lower())
    DOIs.append(doi.lower())

print '</ol>'