Evidence map›Paper›PMID 39984481›Full record

ArticleScientific data2025

Data cleaning and enrichment through data integration: networking the Italian academia.

Irene Finocchi, Alessio Martino, Fariba Ranjbar, Blerina Sinaimeri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. 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

4 authors.

Irene Finocchi *Luiss Guido Carli, Department of Business and Management, Viale Romania, 32, Rome, 00197, Italy.
Alessio Martino *Luiss Guido Carli, Department of Business and Management, Viale Romania, 32, Rome, 00197, Italy. amartino@luiss.it.ORCID http://orcid.org/0000-0003-1730-5436
Fariba Ranjbar *Luiss Guido Carli, Department of Business and Management, Viale Romania, 32, Rome, 00197, Italy.
Blerina Sinaimeri *Luiss Guido Carli, Department of Business and Management, Viale Romania, 32, Rome, 00197, Italy.

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research) 2022ME9Z78Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, University and Research) 2022TS4Y3N
6 · The paper itself

Abstract

We describe a bibliometric network characterizing co-authorship collaborations in the entire Italian academic community. The network, consisting of 38,220 nodes and 507,050 edges, is built upon two distinct data sources: faculty information provided by the Italian Ministry of University and Research and publications available in Semantic Scholar. Both nodes and edges are associated with a large variety of semantic data, including gender, bibliometric indexes, authors' and publications' research fields, and temporal information. While linking data between the two original sources posed many challenges, the network has been carefully validated to assess its reliability and to understand its graph-theoretic characteristics. By resembling several features of social networks, our dataset can be profitably leveraged in experimental studies in the wide social network analytics domain as well as in more specific bibliometric contexts.

Identifiers

PMID39984481
PMCPMC11845514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.