Evidence map›Paper›PMID 36246789›Full record

ArticleScientometrics2022

Are patents linked on Twitter? A case study of Google patents.

Enrique Orduña-Malea, Cristina I Font-Julián

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientometrics, 2022. 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
0.2field-weighted citation impact, top 51% of its field
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, 2 citations in OpenAlex.

  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

2 authors at 2 institutions in 1 country.

Enrique Orduña-MaleaDepartment of Audiovisual Communication, Documentation and History of Art, Universitat Politècnica de València, Valencia, Spain.ORCID 0000-0002-1989-8477
Cristina I Font-JuliánDepartment of Audiovisual Communication, Documentation and History of Art, Universitat Politècnica de València, Valencia, Spain.ORCID https://orcid.org/0000-0003-2351-4816
Universitat Politècnica de València · ESUniversitat Pompeu Fabra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study attempts to analyze patents as cited/mentioned documents to better understand the interest, dissemination and engagement of these documents in social environments, laying the foundations for social media studies of patents (social Patentometrics).Particularly, this study aims to determine how patents are disseminated on Twitter by analyzing three elements:

Indexed as

AltmetricsLink analysisPatentsSocial media metricsSocial patentometricsTwitter

Identifiers

PMID36246789
PMCPMC9549031
OpenAlexW4303984246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.