Evidence map›Paper›PMID 33843537›Full record

ArticleCardiology in the young2021

Standing on the shoulders of Giants: a citation analysis of the paediatric congenital heart disease literature.

Daniel P Sew, Nigel E Drury

Open access · hybridAbstract read
In one paragraph

Article in Cardiology in the young, 2021. 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
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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Daniel P SewDepartment of Pediatric Cardiology, Birmingham Children's Hospital, Birmingham, UK.
Nigel E DruryDepartment of Pediatric Cardiac Surgery, Birmingham Children's Hospital, Birmingham, UK.ORCID https://orcid.org/0000-0001-9012-6683
Birmingham Children's Hospital · GB

Funding

British Heart Foundation FS/15/49/31612
6 · The paper itself

Abstract

objectiveThe citation history of a published article reflects its impact on the literature over time. We conducted a comprehensive bibliometric analysis to identify the most cited papers on CHD in children.

methodsOne-hundred and ninety journals listed in Journal Citation Reports were accessed via Web of Science. Publications with 250 or more citations were identified from Science Citation Index Expanded (1900-2020), and those relating to structural CHD in children were reviewed. Articles were ranked by citation count and the 100 most cited were analysed.

resultsThe number of citations ranged from 2522 to 309 (median 431, IQR 356-518), with 35 published since 2000. All were written in English, most originated from the United States (74%), and were published in cardiovascular journals, with Circulation (28%) the most frequent. There were 86 original research articles, including 50 case series, 14 cohort studies, and 10 clinical trials. The most cited paper was by Hoffman JI and Kaplan S on the incidence of CHD. Thirteen authors had 4 or more publications in the top 100, all of whom had worked in Boston, Philadelphia, San Francisco, or Dallas, and the most prolific author was Newburger JW (9 articles).

conclusionsCitation analysis provides a historical perspective on scientific progress by assessing the impact of individual articles. Our study highlights the dominant position of US-based researchers and journals in this field. Most of the highly cited articles remain case series, with few randomised controlled trials in CHD appearing in recent years.

Indexed as

BibliometricsHeart Defects, CongenitalBostonChildHumansPublicationsCHDcitationshistory

Identifiers

PMID33843537
PMCPMC7612155
OpenAlexW3154666649

What OpenQuestion holds

Textmetadata
LicenceTDM
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.