Evidence map›Paper›PMID 35974056›Full record

ArticleScientific reports2022

Heterogeneous rarity patterns drive price dynamics in NFT collections.

Amin Mekacher, Alberto Bracci, Matthieu Nadini, Mauro Martino, Laura Alessandretti, Luca Maria Aiello, Andrea Baronchelli

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Climate concerns and the future of nonfungible tokens: Leveraging environmental benefits of the Ethereum Merge.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Amin MekacherDepartment of Mathematics, University of London, London, EC1V 0HB, UK.ORCID 0000-0002-6102-9216
Alberto BracciDepartment of Mathematics, University of London, London, EC1V 0HB, UK.
Matthieu NadiniElliptic Inc., London, UK.ORCID 0000-0003-4542-7481
Mauro MartinoIBM Research, Cambridge, MA, USA.
Laura AlessandrettiTechnical University of Denmark, 2800, Kgs. Lyngby, Denmark.ORCID 0000-0001-6003-1165
Luca Maria AielloIT University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0654-2527
Andrea BaronchelliDepartment of Mathematics, University of London, London, EC1V 0HB, UK. abaronchelli@turing.ac.uk.ORCID 0000-0002-0255-0829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We quantify Non Fungible Token (NFT) rarity and investigate how it impacts market behaviour by analysing a dataset of 3.7M transactions collected between January 2018 and June 2022, involving 1.4M NFTs distributed across 410 collections. First, we consider the rarity of an NFT based on the set of human-readable attributes it possesses and show that most collections present heterogeneous rarity patterns, with few rare NFTs and a large number of more common ones. Then, we analyze market performance and show that, on average, rarer NFTs: (i) sell for higher prices, (ii) are traded less frequently, (iii) guarantee higher returns on investment, and (iv) are less risky, i.e., less prone to yield negative returns. We anticipate that these findings will be of interest to researchers as well as NFT creators, collectors, and traders.

Indexed as

InvestmentsNeurofibrillary TanglesHumans

Identifiers

PMID35974056
PMCPMC9381539

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.