Evidence map›Paper›PMID 42177177›Full record

ArticleScientific data2026

A concordance between patent and trademark classes to link technologies to markets.

Milad Abbasiharofteh, Carolina Castaldi, Sergio Petralia

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Milad AbbasiharoftehAalborg University Business School, Faculty of Social Sciences and Humanities, 9220, Aalborg, Denmark.
Carolina CastaldiUtrecht University, Department of Human Geography and Spatial Planning Utrecht, 3584, Utrecht, CB, The Netherlands.
Sergio PetraliaUtrecht University, Department of Human Geography and Spatial Planning Utrecht, 3584, Utrecht, CB, The Netherlands. s.g.petralia@uu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patent data is the preferred source of information for tracking technological change. However, the economic impact of patented technologies remains unclear unless patent data is linked to other data, which can reveal the mechanisms through which new technology diffuses. One such data source comes from the trademark filings that accompany the market introduction of new goods and services. Patent and trademark data can be combined to link given technologies to specific markets. Yet, differences in their classification systems represent a challenge. To enable linking patent and trademark data, we develop, validate and share a novel concordance between technology classes in patent records and market classes in trademark records. The concordance can be used to track the diffusion of patented technologies at the technology, firm, region, or country level, with many relevant applications in research and policy analyses of innovation.

Identifiers

PMID42177177
PMCPMC13478386

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.