Feature request: Indicate papers that cite a Dandiset in the DLP

I found a paper (https://doi.org/10.1016/j.neuron.2023.08.005) that cites Dandiset 000458 (https://doi.org/10.48324/dandi.000458/0.230317.0039). When I went to the Dandiset landing page, I find that there are some papers associated with this Dandiset but not the paper that I found. This is because the paper is a secondary use of this Dandiset, and did not exist when the Dandise was published.

I think we are missing a huge opportunity here. If we want to influence the behavior of scientists to reuse data, one of the best ways to do that is to educate them about others that are already doing this behavior. In doing so, we will establish that this is a high-quality dataset worth analyzing, demonstrate that you can achieve publications through reuse of data, and advance social norms around using data. All the better if the publications are from high-impact journals like Neuron. Therefore, I think in some way indicating papers that use and cite a Dandiset should be a high priority. While GitHub-like stars, page views, and download stats are all very important, IMO this metric is even more important than all of those.

I think this should really go on the DLP, and should _not_ be in control of the Dandiset owner. Ideally, this would reflect UX patterns that the user is already familiar with. For example every scientist is familiar with the Google Scholar "Cited By [x]" link:

I think the most straightforward UX solution would be to add a button here:

that says "Cited by [#]". Then that button would lead to a modal window that contains a list of papers that cite this Dandiset, formatted similarly to how this is done in Google Scholar:

This may not be ideal because it does not make the citation metrics as prominent as I would like, but it would be a massive improvement over not having this metric on the DLP at all.

Then the question is: how do we gather this information? It looks like this can be done with crossref (https://www.crossref.org/documentation/cited-by/retrieve-citations/), which would require credentials, and I don't know whether crossref even tracks using of DANDI DOIs.

opencitations provides a service for this that works on Science papers, e.g.
`http://opencitations.net/index/coci/api/v1/citations/10.1126/science.abf4588` but not on Dandisets.
`http://opencitations.net/index/coci/api/v1/citations/10.48324/dandi.000458/0.230317.0039` returns an empty list. It is possible the citations has just not been indexed yet. This is hard to test because a lot of publications like https://www.nature.com/articles/s41586-023-06031-6 do not properly cite the Dandiset DOI. This is another issue: we might want to be able to manually add citation information for examples like this where high-profile papers use Dandisets but do not cite them in a way that our system will be able to detect.

Once we have the DOIs of the citing papers, I can confirm that crossref is a great tool for gathering information about a specific publication. https://api.crossref.org/works/{doi} returns all the information we would need, e.g.

https://api.crossref.org/works/10.1126/science.abf4588

```python
{'DOI': '10.1126/science.abf4588',
'ISSN': ['0036-8075', '1095-9203'],
'URL': 'http://dx.doi.org/10.1126/science.abf4588',
'abstract': 'Recording many neurons for a long time\n'
' \n'
' The ultimate aim of chronic recordings is to sample '
'from the same neuron over days and weeks. However, this goal has '
'been difficult to achieve for large populations of neurons. '
'Steinmetz\n'
' et al.\n'
' describe the development and testing of Neuropixels '
'2.0. This new electrophysiological recording tool is a '
'miniaturized, high-density probe for both acute and long-term '
'experiments combined with sophisticated software algorithms for '
'fully automatic post hoc computational stabilization. The '
'technique also provides a strategy for extending the number of '
'recorded sites beyond the number of available recording '
'channels. In freely moving animals, extremely large numbers of '
'individual neurons could thus be followed and tracked with the '
'same probe for weeks and occasionally months.\n'
' \n'
' \n'
' Science\n'
' , this issue p.\n'
' eabf4588\n'
' ',
'alternative-id': ['10.1126/science.abf4588'],
'author': [{'ORCID': 'http://orcid.org/0000-0001-7029-2908',
'affiliation': [{'name': 'UCL Institute of Ophthalmology, '
'University College London, London, UK.'},
{'name': 'Department of Biological Structure, '
'University of Washington, Seattle, WA, '
'USA.'}],
'authenticated-orcid': True,
'family': 'Steinmetz',
'given': 'Nicholas A.',
'sequence': 'first'},
{'ORCID': 'http://orcid.org/0000-0002-7216-1079',
'affiliation': [{'name': 'Neuroelectronics Research Flanders, '
'Leuven, Belgium.'}],
'authenticated-orcid': True,
'family': 'Aydin',
'given': 'Cagatay',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-2454-411X',
'affiliation': [{'name': 'Sainsbury Wellcome Centre, University '
'College London, London, UK.'}],
'authenticated-orcid': True,
'family': 'Lebedeva',
'given': 'Anna',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-7795-5513',
'affiliation': [{'name': 'Centre for Systems Neuroscience and '
'Department of Neuroscience, Psychology '
'and Behaviour, University of Leicester, '
'Leicester, UK.'},
{'name': 'UCL Queen Square Institute of '
'Neurology, University College London, '
'London, UK.'}],
'authenticated-orcid': True,
'family': 'Okun',
'given': 'Michael',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-7106-814X',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Pachitariu',
'given': 'Marius',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-3514-8382',
'affiliation': [{'name': 'Sainsbury Wellcome Centre, University '
'College London, London, UK.'}],
'authenticated-orcid': True,
'family': 'Bauza',
'given': 'Marius',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-8907-6612',
'affiliation': [{'name': 'Wolfson Institute for Biomedical '
'Research, University College London, '
'London, UK.'}],
'authenticated-orcid': True,
'family': 'Beau',
'given': 'Maxime',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-2571-3712',
'affiliation': [{'name': 'UCL Queen Square Institute of '
'Neurology, University College London, '
'London, UK.'}],
'authenticated-orcid': True,
'family': 'Bhagat',
'given': 'Jai',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-9802-1162',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Böhm',
'given': 'Claudia',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-6543-3403',
'affiliation': [{'name': 'Neuroelectronics Research Flanders, '
'Leuven, Belgium.'}],
'authenticated-orcid': True,
'family': 'Broux',
'given': 'Martijn',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-5065-1157',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Chen',
'given': 'Susu',
'sequence': 'additional'},
{'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'family': 'Colonell',
'given': 'Jennifer',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-3242-8840',
'affiliation': [{'name': 'Kavli Institute for Systems '
'Neuroscience, Norwegian University of '
'Science and Technology, Trondheim, '
'Norway.'}],
'authenticated-orcid': True,
'family': 'Gardner',
'given': 'Richard J.',
'sequence': 'additional'},
{'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'family': 'Karsh',
'given': 'Bill',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-6680-9660',
'affiliation': [{'name': 'Neuroelectronics Research Flanders, '
'Leuven, Belgium.'},
{'name': 'IMEC, Leuven, Belgium.'},
{'name': 'Vlaams Instituut voor Biotechnologie '
'(VIB), Leuven, Belgium.'},
{'name': 'Brain and Cognition, KU Leuven, Leuven, '
'Belgium.'}],
'authenticated-orcid': True,
'family': 'Kloosterman',
'given': 'Fabian',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-7548-2209',
'affiliation': [{'name': 'Wolfson Institute for Biomedical '
'Research, University College London, '
'London, UK.'}],
'authenticated-orcid': True,
'family': 'Kostadinov',
'given': 'Dimitar',
'sequence': 'additional'},
{'affiliation': [{'name': 'IMEC, Leuven, Belgium.'}],
'family': 'Mora-Lopez',
'given': 'Carolina',
'sequence': 'additional'},
{'affiliation': [{'name': 'IMEC, Leuven, Belgium.'}],
'family': 'O’Callaghan',
'given': 'John',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-4739-0793',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Park',
'given': 'Junchol',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-8834-5852',
'affiliation': [{'name': 'IMEC, Leuven, Belgium.'}],
'authenticated-orcid': True,
'family': 'Putzeys',
'given': 'Jan',
'sequence': 'additional'},
{'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'family': 'Sauerbrei',
'given': 'Britton',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-5230-6165',
'affiliation': [{'name': 'Neuroelectronics Research Flanders, '
'Leuven, Belgium.'},
{'name': 'ATLAS Neuroengineering, Leuven, '
'Belgium.'},
{'name': 'Micro- and Nanosystems, KU Leuven, '
'Leuven, Belgium.'}],
'authenticated-orcid': True,
'family': 'van Daal',
'given': 'Rik J. J.',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-3376-6689',
'affiliation': [{'name': 'Kavli Institute for Systems '
'Neuroscience, Norwegian University of '
'Science and Technology, Trondheim, '
'Norway.'}],
'authenticated-orcid': True,
'family': 'Vollan',
'given': 'Abraham Z.',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-5450-2108',
'affiliation': [{'name': 'IMEC, Leuven, Belgium.'}],
'authenticated-orcid': True,
'family': 'Wang',
'given': 'Shiwei',
'sequence': 'additional'},
{'affiliation': [{'name': 'IMEC, Leuven, Belgium.'}],
'family': 'Welkenhuysen',
'given': 'Marleen',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-4311-1037',
'affiliation': [{'name': 'Department of Biological Structure, '
'University of Washington, Seattle, WA, '
'USA.'}],
'authenticated-orcid': True,
'family': 'Ye',
'given': 'Zhiwen',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-4436-1057',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Dudman',
'given': 'Joshua T.',
'sequence': 'additional'},
{'affiliation': [{'name': 'IMEC, Leuven, Belgium.'}],
'family': 'Dutta',
'given': 'Barundeb',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-6563-1423',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Hantman',
'given': 'Adam W.',
'sequence': 'additional'},
{'affiliation': [{'name': 'UCL Queen Square Institute of '
'Neurology, University College London, '
'London, UK.'}],
'family': 'Harris',
'given': 'Kenneth D.',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-4332-8332',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Lee',
'given': 'Albert K.',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-0226-5566',
'affiliation': [{'name': 'Kavli Institute for Systems '
'Neuroscience, Norwegian University of '
'Science and Technology, Trondheim, '
'Norway.'}],
'authenticated-orcid': True,
'family': 'Moser',
'given': 'Edvard I.',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-5697-4881',
'affiliation': [{'name': 'Sainsbury Wellcome Centre, University '
'College London, London, UK.'}],
'authenticated-orcid': True,
'family': 'O’Keefe',
'given': 'John',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0001-7916-9930',
'affiliation': [{'name': 'Champalimaud Centre for the Unknown, '
'Lisbon, Portugal.'}],
'authenticated-orcid': True,
'family': 'Renart',
'given': 'Alfonso',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-6670-7362',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Svoboda',
'given': 'Karel',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-2673-8957',
'affiliation': [{'name': 'Wolfson Institute for Biomedical '
'Research, University College London, '
'London, UK.'}],
'authenticated-orcid': True,
'family': 'Häusser',
'given': 'Michael',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-4924-7381',
'affiliation': [{'name': 'Neuroelectronics Research Flanders, '
'Leuven, Belgium.'},
{'name': 'Vlaams Instituut voor Biotechnologie '
'(VIB), Leuven, Belgium.'}],
'authenticated-orcid': True,
'family': 'Haesler',
'given': 'Sebastian',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0003-4880-7682',
'affiliation': [{'name': 'UCL Institute of Ophthalmology, '
'University College London, London, '
'UK.'}],
'authenticated-orcid': True,
'family': 'Carandini',
'given': 'Matteo',
'sequence': 'additional'},
{'ORCID': 'http://orcid.org/0000-0002-6289-4439',
'affiliation': [{'name': 'Janelia Research Campus, Howard Hughes '
'Medical Institute, Ashburn, VA, USA.'}],
'authenticated-orcid': True,
'family': 'Harris',
'given': 'Timothy D.',
'sequence': 'additional'}],
'container-title': ['Science'],
'content-domain': {'crossmark-restriction': False, 'domain': []},
'created': {'date-parts': [[2021, 4, 15]],
'date-time': '2021-04-15T19:51:33Z',
'timestamp': 1618516293000},
'deposited': {'date-parts': [[2024, 1, 15]],
'date-time': '2024-01-15T22:52:17Z',
'timestamp': 1705359137000},
'funder': [{'DOI': '10.13039/100000002',
'award': ['1U01NS113252-01'],
'doi-asserted-by': 'publisher',
'name': 'National Institutes of Health'},
{'DOI': '10.13039/100000875',
'doi-asserted-by': 'publisher',
'name': 'Pew Charitable Trusts'},
{'DOI': '10.13039/100001201',
'doi-asserted-by': 'publisher',
'name': 'Kavli Foundation'},
{'DOI': '10.13039/100001207',
'doi-asserted-by': 'publisher',
'name': 'Esther A. and Joseph Klingenstein Fund'},
{'DOI': '10.13039/100005930',
'doi-asserted-by': 'publisher',
'name': 'ASCRS Research Foundation'},
{'DOI': '10.13039/100010269',
'award': ['204915/Z/16/Z'],
'doi-asserted-by': 'publisher',
'name': 'Wellcome'},
{'DOI': '10.13039/100010269',
'award': ['201225/Z/16/Z'],
'doi-asserted-by': 'publisher',
'name': 'Wellcome'},
{'DOI': '10.13039/100010269',
'doi-asserted-by': 'publisher',
'name': 'Wellcome'},
{'DOI': '10.13039/100012331',
'award': ['1U01NS113252-01'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'award': ['G096219N'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'award': ['C14/17/109'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'award': ['G0D7516N'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'award': ['C14/17/042'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'award': ['BB/P020607/1'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'award': ['SBF002'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'award': ['HBC.2018.2114'],
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/100012331',
'doi-asserted-by': 'publisher',
'name': 'Agentschap Innoveren en Ondernemen'},
{'DOI': '10.13039/501100000268',
'doi-asserted-by': 'publisher',
'name': 'Biotechnology and Biological Sciences Research Council'},
{'DOI': '10.13039/501100003130',
'doi-asserted-by': 'publisher',
'name': 'Fonds Wetenschappelijk Onderzoek'},
{'DOI': '10.13039/100010269',
'award': ['204717/Z/16/Z'],
'doi-asserted-by': 'publisher',
'name': 'Wellcome'},
{'DOI': '10.13039/501100004040',
'award': ['C14/17/109'],
'doi-asserted-by': 'publisher',
'name': 'KU Leuven'},
{'DOI': '10.13039/501100011878',
'doi-asserted-by': 'publisher',
'name': 'Vlaamse regering'},
{'DOI': '10.13039/501100014069',
'award': ['204915/Z/16/Z'],
'doi-asserted-by': 'publisher',
'name': 'Fundação Champalimaud'},
{'DOI': '10.13039/501100014069',
'award': ['951319'],
'doi-asserted-by': 'publisher',
'name': 'Fundação Champalimaud'},
{'DOI': '10.13039/501100014069',
'award': ['295721'],
'doi-asserted-by': 'publisher',
'name': 'Fundação Champalimaud'},
{'DOI': '10.13039/501100014069',
'award': ['286225'],
'doi-asserted-by': 'publisher',
'name': 'Fundação Champalimaud'},
{'DOI': '10.13039/501100014069',
'award': ['223262'],
'doi-asserted-by': 'publisher',
'name': 'Fundação Champalimaud'},
{'DOI': '10.13039/501100018719',
'doi-asserted-by': 'publisher',
'name': 'Koç Üniversitesi'},
{'DOI': '10.13039/501100005416',
'award': ['National Infrastructure Scheme, NORBRAIN, grant number '
'295721'],
'doi-asserted-by': 'crossref',
'name': 'Research Council of Norway'},
{'DOI': '10.13039/501100005416',
'award': ['FRIPRO grant number 286225'],
'doi-asserted-by': 'crossref',
'name': 'Research Council of Norway'},
{'DOI': '10.13039/501100005416',
'award': ['Centre of Excellence grant number 223262'],
'doi-asserted-by': 'crossref',
'name': 'Research Council of Norway'},
{'name': 'HHMI Janelia Research Campus'},
{'award': ['HBC.2018.2114'],
'name': 'Hermesfonds with a VLAIO Baekeland mandate'},
{'name': 'HHMI Janelia Research Campus'},
{'name': 'Sainsbury Wellcome Centre for Neural Circuits and '
'Behaviour'},
{'DOI': '10.13039/501100003130',
'award': ['G096219N'],
'doi-asserted-by': 'crossref',
'name': 'Research Foundation Flanders'},
{'award': ['Springboard SBF002\\1045'],
'name': 'Academy of Medical Sciences and Wellcome Trust'},
{'DOI': '10.13039/501100000268',
'award': ['BB/P020607/1'],
'doi-asserted-by': 'crossref',
'name': 'BBSRC'},
{'name': 'HHMI Janelia Research Campus'}],
'indexed': {'date-parts': [[2024, 3, 20]],
'date-time': '2024-03-20T04:21:37Z',
'timestamp': 1710908497756},
'is-referenced-by-count': 446,
'issn-type': [{'type': 'print', 'value': '0036-8075'},
{'type': 'electronic', 'value': '1095-9203'}],
'issue': '6539',
'issued': {'date-parts': [[2021, 4, 16]]},
'journal-issue': {'issue': '6539',
'published-print': {'date-parts': [[2021, 4, 16]]}},
'language': 'en',
'link': [{'URL': 'https://syndication.highwire.org/content/doi/10.1126/science.abf4588',
'content-type': 'unspecified',
'content-version': 'vor',
'intended-application': 'syndication'},
{'URL': 'https://www.science.org/doi/pdf/10.1126/science.abf4588',
'content-type': 'unspecified',
'content-version': 'vor',
'intended-application': 'similarity-checking'}],
'member': '221',
'original-title': [],
'prefix': '10.1126',
'published': {'date-parts': [[2021, 4, 16]]},
'published-print': {'date-parts': [[2021, 4, 16]]},
'publisher': 'American Association for the Advancement of Science (AAAS)',
'reference': [{'DOI': '10.1038/natrevmats.2016.93',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_2_2'},
{'DOI': '10.1038/micronano.2016.66',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_3_2'},
{'DOI': '10.1016/j.conb.2018.01.009',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_4_2'},
{'DOI': '10.1038/s41583-019-0140-6',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_5_2'},
{'DOI': '10.1016/j.neuron.2019.08.011',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_6_2'},
{'DOI': '10.1038/nature24636',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_7_2'},
{'DOI': '10.3390/s17102388',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_8_2'},
{'DOI': '10.1126/science.aav3932',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_9_2'},
{'DOI': '10.1038/s41586-020-03171-x',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_10_2'},
{'DOI': '10.1038/s41586-019-1787-x',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_11_2'},
{'DOI': '10.1126/science.aav7893',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_12_2'},
{'DOI': '10.1038/s41586-018-0244-6',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_13_2'},
{'DOI': '10.1016/j.neuron.2018.02.023',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_14_2'},
{'DOI': '10.1016/j.neuron.2019.02.010',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_15_2'},
{'DOI': '10.1038/s41593-019-0381-8',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_16_2'},
{'DOI': '10.1038/s41593-019-0502-4',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_17_2'},
{'DOI': '10.1101/772517',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_18_2',
'unstructured': 'J. Park J. W. Phillips K. A. Martin A. W. '
'Hantman J. T. Dudman Flexible routing of '
'motor control signals through neocortical '
'projection neuron classes. bioRxiv 772517 '
'[Preprint]. 18 September 2019. '
'https://doi.org/10.1101/772517.'},
{'DOI': '10.1016/j.neuron.2020.04.026',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_19_2'},
{'DOI': '10.1038/s41586-019-1346-5',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_20_2'},
{'DOI': '10.1101/2020.02.25.965210',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_21_2',
'unstructured': 'L. D. Liu S. Chen M. N. Economo N. Li K. '
'Svoboda Accurate localization of linear probe '
'electrodes across multiple brains. bioRxiv '
'2020.02.25.965210 [Preprint]. 26 February '
'2020. '
'https://doi.org/10.1101/2020.02.25.965210.'},
{'DOI': '10.1038/s41586-019-1869-9',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_22_2'},
{'DOI': '10.1126/science.aao4960',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_23_2'},
{'DOI': '10.1038/s41593-019-0360-0',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_24_2'},
{'DOI': '10.7554/eLife.63035',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_25_2'},
{'DOI': '10.7554/eLife.59716',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_26_2'},
{'DOI': '10.7554/eLife.53462',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_27_2'},
{'DOI': '10.1016/j.neuron.2019.05.003',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_28_2'},
{'DOI': '10.1073/pnas.1717695114',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_29_2'},
{'DOI': '10.1016/j.neuron.2018.11.002',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_30_2'},
{'DOI': '10.2196/16194',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_31_2'},
{'DOI': '10.1088/1741-2560/10/4/046016',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_32_2'},
{'DOI': '10.1126/sciadv.1601966',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_33_2'},
{'DOI': '10.1152/jn.00352.2020',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_34_2'},
{'DOI': '10.1088/1741-2552/ab8343',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_35_2'},
{'article-title': 'The tetrode: A new technique for multi-unit '
'extracellular recording',
'author': 'Recce M.',
'first-page': '1250',
'journal-title': 'Soc. Neurosci. Abstr.',
'key': 'e_1_3_2_36_2',
'unstructured': 'M. Recce, J. O’Keefe, The tetrode: A new '
'technique for multi-unit extracellular '
'recording. Soc. Neurosci. Abstr. 15, 1250 '
'(1989).',
'volume': '15',
'year': '1989'},
{'DOI': '10.7554/eLife.27702',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_37_2'},
{'DOI': '10.1016/S0013-4694(96)95176-0',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_38_2'},
{'DOI': '10.1088/1741-2560/8/4/045005',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_39_2'},
{'DOI': '10.1371/journal.pone.0151180',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_40_2'},
{'DOI': '10.1101/2020.08.09.243279',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_41_2',
'unstructured': 'J.-O. Muthmann A. J. Levi H. C. Carney A. C. '
'Huk “Supersessioning”: A hardware/software '
'system for electrophysiology spanning '
'multiple sessions in marmosets. bioRxiv '
'2020.08.09.243279 [Preprint]. 10 August 2020. '
'https://doi.org/10.1101/2020.08.09.243279.'},
{'DOI': '10.1101/2020.09.24.312132',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_42_2',
'unstructured': 'C. E. Schoonover S. N. Ohashi R. Axel A. J. '
'P. Fink Representational drift in primary '
'olfactory cortex. bioRxiv 2020.09.24.312132 '
'[Preprint]. 25 September 2020. '
'https://doi.org/10.1101/2020.09.24.312132.'},
{'DOI': '10.7554/eLife.47188',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_43_2'},
{'DOI': '10.1016/j.jneumeth.2003.12.022',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_44_2'},
{'DOI': '10.1152/jn.00569.2007',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_45_2'},
{'DOI': '10.1152/jn.00260.2007',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_46_2'},
{'DOI': '10.1152/jn.90920.2008',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_47_2'},
{'DOI': '10.1152/jn.01012.2010',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_48_2'},
{'DOI': '10.1152/jn.00052.2014',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_49_2'},
{'DOI': '10.1152/jn.00464.2015',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_50_2'},
{'DOI': '10.1021/acs.nanolett.6b02673',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_51_2'},
{'DOI': '10.1109/TBME.2015.2406113',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_52_2'},
{'DOI': '10.1101/742346',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_53_2',
'unstructured': 'M. S. Saleh S. M. Ritchie M. A. Nicholas R. '
'Bezbaruah J. W. Reddy M. Chamanzar E. A. '
'Yttri R. P. Panat CMU Array: A 3D '
'nano-printed customizable ultra-high-density '
'microelectrode array platform. bioRxiv 742346 '
'[Preprint]. 23 August 2019. '
'https://doi.org/10.1101/742346.'},
{'DOI': '10.1126/sciadv.aay2789',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_54_2'},
{'DOI': '10.1088/1741-2552/abd0ce',
'article-title': 'The Argo: A high channel count recording '
'system for neural recording in vivo',
'author': 'Sahasrabuddhe K.',
'doi-asserted-by': 'crossref',
'journal-title': 'J. Neural Eng.',
'key': 'e_1_3_2_55_2',
'unstructured': 'K. Sahasrabuddhe, A. A. Khan, A. P. Singh, T. '
'M. Stern, Y. Ng, A. Tadić, P. Orel, C. '
'LaReau, D. Pouzzner, K. Nishimura, K. M. '
'Boergens, S. Shivakumar, M. S. Hopper, B. '
'Kerr, M. S. Hanna, R. J. Edgington, I. '
'McNamara, D. Fell, P. Gao, A. Babaie-Fishani, '
'S. Veijalainen, A. V. Klekachev, A. M. '
'Stuckey, B. Luyssaert, T. D. Y. Kozai, C. '
'Xie, V. Gilja, B. Dierickx, Y. Kong, M. '
'Straka, H. S. Sohal, M. R. Angle, The Argo: A '
'high channel count recording system for '
'neural recording in vivo. J. Neural Eng. 18, '
'015002 (2021). 33624614',
'volume': '18',
'year': '2021'},
{'DOI': '10.1038/nature03274',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_56_2'},
{'DOI': '10.1152/jn.00747.2006',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_57_2'},
{'DOI': '10.1523/JNEUROSCI.2974-11.2011',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_58_2'},
{'DOI': '10.3389/fncir.2011.00018',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_59_2'},
{'DOI': '10.1523/JNEUROSCI.4071-12.2013',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_60_2'},
{'DOI': '10.1371/journal.pone.0008222',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_61_2'},
{'DOI': '10.1101/2020.10.05.327049',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_62_2',
'unstructured': 'D. Deitch A. Rubin Y. Ziv Representational '
'drift in the mouse visual cortex. bioRxiv '
'2020.10.05.327049 [Preprint]. 5 October 2020. '
'https://doi.org/10.1101/2020.10.05.327049.'},
{'DOI': '10.1101/2020.12.10.420620',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_63_2',
'unstructured': 'T. D. Marks M. J. Goard Stimulus-dependent '
'representational drift in primary visual '
'cortex. bioRxiv 2020.12.10.420620 [Preprint]. '
'11 December 2020. '
'https://doi.org/10.1101/2020.12.10.420620.'},
{'DOI': '10.1101/851691',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_64_2',
'unstructured': 'K. H. Lee Y.-L. Ni M. Meister Electrode '
'pooling: How to boost the yield of switchable '
'silicon probes for neuronal recordings. '
'bioRxiv 851691 [Preprint]. 26 November 2019. '
'https://doi.org/10.1101/851691.'},
{'DOI': '10.1152/jn.00979.2005',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_65_2'},
{'DOI': '10.1016/j.jneumeth.2018.08.020',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_66_2'},
{'DOI': '10.1109/TBCAS.2019.2942450',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_67_2'},
{'DOI': '10.1109/TBCAS.2019.2943077',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_68_2'},
{'key': 'e_1_3_2_69_2',
'unstructured': 'N. Steinmetz M. Okun Ç. Aydın Code and '
'summary data for Steinmetz et al. '
'“Neuropixels 2.0: A miniaturized high-density '
'probe for stable long-term brain recordings ” '
'Version 1 Zenodo (2021); '
'https://doi.org/10.5281/zenodo.4558642.10.5281/zenodo.4558642'},
{'key': 'e_1_3_2_70_2',
'unstructured': 'N. Steinmetz Raw data for Steinmetz et al. '
'“Neuropixels 2.0: A miniaturized high-density '
'probe for stable long-term brain recordings ” '
'Figshare (2021); '
'https://doi.org/10.6084/m9.figshare.14024495.10.6084/m9.figshare.14024495'},
{'key': 'e_1_3_2_71_2',
'unstructured': 'M. Pachitariu C. Rossant N. Steinmetz J. '
'Colonell A. G. Bondy O. Winter K. Banga J. '
'Bhagat M. Sosa D. O’Shea J. Guzman K. C. '
'Nakamura Geffen Lab P. Botros R. Saxena A. '
'Liddell J. Pellman M. Spacek D. Bryzgalov C. '
'Stringer D. Denman D. Karamanlis M. Beau '
'Kilosort 2.5 Software package for Steinmetz '
'et al. “Neuropixels 2.0: A miniaturized '
'high-density probe for stable long-term brain '
'recordings.” Version 2.5 Zenodo (2021); '
'https://doi.org/10.5281/zenodo.4482749.'},
{'key': 'e_1_3_2_72_2',
'unstructured': 'Ç. Aydin R. van Daal CAD files for Steinmetz '
'et al. “Neuropixels 2.0: A miniaturized '
'high-density probe for stable long-term brain '
'recordings ” Version 1 Zenodo (2021); '
'https://doi.org/10.5281/zenodo.4564136.10.5281/zenodo.4564136'},
{'DOI': '10.1371/journal.pone.0089007',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_73_2'},
{'DOI': '10.1016/j.cell.2015.08.014',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_74_2'},
{'DOI': '10.1038/nn.3078',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_75_2'},
{'article-title': 'A statistical approach to some basic mine '
'valuation problems on the Witwatersrand',
'author': 'Krige D. G.',
'first-page': '119',
'journal-title': 'J. South. Afr. Inst. Min. Metall.',
'key': 'e_1_3_2_76_2',
'unstructured': 'D. G. Krige, A statistical approach to some '
'basic mine valuation problems on the '
'Witwatersrand. J. South. Afr. Inst. Min. '
'Metall. 52, 119–139 (1951).',
'volume': '52',
'year': '1951'},
{'DOI': '10.1371/journal.pone.0062123',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_77_2'},
{'DOI': '10.1101/061481',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_78_2',
'unstructured': 'M. Pachitariu N. Steinmetz S. Kadir M. '
'Carandini K. D. Harris Kilosort: Realtime '
'spike-sorting for extracellular '
'electrophysiology with hundreds of channels. '
'bioRxiv 061481 [Preprint]. 30 June 2016. '
'https://doi.org/10.1101/061481.10.1101/061481'},
{'DOI': '10.1109/83.988953',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_79_2'},
{'DOI': '10.1101/061507',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_80_2',
'unstructured': 'M. Pachitariu C. Stringer M. Dipoppa S. '
'Schröder L. F. Rossi H. Dalgleish M. '
'Carandini K. D. Harris Suite2p: Beyond 10 000 '
'neurons with standard two-photon microscopy. '
'bioRxiv 061507 [Preprint]. 20 July 2017. '
'https://doi.org/10.1101/061507.10.1101/061507'},
{'DOI': '10.1038/nn.4268',
'doi-asserted-by': 'publisher',
'key': 'e_1_3_2_81_2'},
{'DOI': '10.1038/s41596-021-00539-9',
'doi-asserted-by': 'crossref',
'key': 'e_1_3_2_82_2',
'unstructured': 'R. J. van Daal Ç. Aydin F. Michon A. A. Aarts '
'M. Kraft F. Kloosterman S. Haesler '
'Implantation of Neuropixels probes for '
'chronic recording of neuronal activity in '
'freely behaving mice and rats. Nat. Protoc. '
'10.1038/s41596-021-00539-9 (2021).'}],
'reference-count': 81,
'references-count': 81,
'relation': {'has-preprint': [{'asserted-by': 'object',
'id': '10.1101/2020.10.27.358291',
'id-type': 'doi'}],
'has-review': [{'asserted-by': 'object',
'id': '10.3410/f.739941959.793589669',
'id-type': 'doi'}]},
'resource': {'primary': {'URL': 'https://www.science.org/doi/10.1126/science.abf4588'}},
'score': 1,
'short-container-title': ['Science'],
'short-title': [],
'source': 'Crossref',
'subject': ['Multidisciplinary'],
'subtitle': [],
'title': ['Neuropixels 2.0: A miniaturized high-density probe for stable, '
'long-term brain recordings'],
'type': 'journal-article',
'volume': '372'}
```

Beyond putting on the DLP, this is a very important metric for us to track. Looking at publications over the last year or so, I am seeing examples of high-profile papers that use Dandisets that we don't even know about, and this is quickly getting to a point where we need automated tools to track this.

1. What is the best way to automatically track this information?
2. How does the team feel about displaying this information on the DLP?

Start with the DLP Dandiset landing page and review how its existing associated-paper information is presented. Investigate Crossref's cited-by retrieval and the provided OpenCitations examples, including handling papers that do not cite Dandiset DOIs cleanly. Done should define a viable source of citation data and present a cited-by count with a paper list in the landing-page UX.

Written by the indexing model from the issue text.