Evidence map›Paper›PMID 34452550›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

100 Disruptive Publications in Breast Cancer Research.

Miles W Grunvald, Michael D Williams, Ruta D Rao, Cristina M O'Donoghue, Adan Z Becerra

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Miles W GrunvaldDepartment of Surgery, Rush University Medical Center, Chicago, IL, 60654, USA.ORCID https://orcid.org/00
Michael D WilliamsDepartment of Surgery, Rush University Medical Center, Chicago, IL, 60654, USA.
Ruta D RaoDepartment of Hematology and Oncology, Rush University Medical Center, Chicago, IL, USA.
Cristina M O'DonoghueDepartment of Surgery, Rush University Medical Center, Chicago, IL, 60654, USA.
Adan Z BecerraDepartment of Surgery, Rush University Medical Center, Chicago, IL, 60654, USA.ORCID 0000-0002-6072-3775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer has a rich history of research over the past 75 years. Many studies have had disruptive influences on the field itself. Our study employs a new, validated measurement to determine the most disruptive publications within the field of breast cancer. MATERIALS AND

methodsPubMed® database was queried for articles between 1954-2014 related to breast cancer with in 21 different journals deemed important to the field. Articles were then scored for disruption and citation count. The top 100 most disruptive and cited publications were compiled and analyzed.

resultsDisruption score was a distinct measurement from citation count and had low level of correlation. Disruptive publications tended to skew older with the median year of publication in 1977. The score identified a variety of study designs and publication types within multiple journals.

conclusionsMeasurement of the disruptive quality of a publication is a new way to describe academic impact of a publication and is distinct from citation count. Used in conjunction with citation count in may give a more descriptive bibliometric assessment of the literature. Further exploration within the field of oncology is warranted.<br />.

Indexed as

Databases, FactualJournal Impact FactorBiomedical ResearchBreast NeoplasmsFemaleHumansPeriodicals as TopicPublicationsBibliometricsbreast cancerDisruption

Identifiers

PMID34452550
PMCPMC8629469

What OpenQuestion holds

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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.