Evidence map›Paper›PMID 41144487›Full record

ArticlePloS one2025

Citation proximus: The role of social and semantic ties on citations.

Diego Kozlowski, Carolina Pradier, Pierre Benz, Natsumi S Shokida, Jens Peter Andersen, Vincent Larivière

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Diego KozlowskiÉcole de Bibliothéconomie et des Sciences de l'information, Université de Montréal, Montréal, Quebec, Canada.ORCID https://orcid.org/0000-0002-5396-3471
Carolina PradierÉcole de Bibliothéconomie et des Sciences de l'information, Université de Montréal, Montréal, Quebec, Canada.
Pierre BenzÉcole de Bibliothéconomie et des Sciences de l'information, Université de Montréal, Montréal, Quebec, Canada.ORCID https://orcid.org/0000-0003-1672-7311
Natsumi S ShokidaÉcole de Bibliothéconomie et des Sciences de l'information, Université de Montréal, Montréal, Quebec, Canada.
Jens Peter AndersenDanish Centre for Studies in Research and Research Policy, Aarhus University, Aarhus, Denmark.
Vincent LarivièreÉcole de Bibliothéconomie et des Sciences de l'information, Université de Montréal, Montréal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite being considered as key indicators of research impact, citations are shaped by factors beyond intrinsic research quality-such as including prestige, social networks, and research topics. While the Matthew Effect explains how prestige accumulates, our study contextualizes this by showing that other mechanisms also play a role in citation accumulation. Analyzing a large dataset of U.S. economic (N = 43,467) and their citation linkages (N = 264,436), we find that close ties in the collaboration network are the strongest predictor of citations, closely followed by semantic similarity between citing and cited papers. This suggests that citations are not only driven by prestige but are strongly affected by f social networks and intellectual proximity. Prestige remains an important factor affecting citations for highly cited papers, but for most papers, proximity-both social and semantic-plays a more significant role. These findings redirect focus from extreme cases of highly cited research to the overall citation distribution, which influences most scientists' career paths and knowledge production. Recognizing the diverse factors influencing citations is critical for science policy and for developing a reward system of science that is fairer and reflects a diversity of contributions to science.

Indexed as

BibliometricsSemanticsHumansJournal Impact FactorSocial Networking

Identifiers

PMID41144487
PMCPMC12558470

What OpenQuestion holds

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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.