Evidence map›Paper›PMID 21194644›Full record

ReviewUrologic oncology

Combating unethical publications with plagiarism detection services.

H R Garner

Abstract readReview
In one paragraph

Review in Urologic oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. How do you know it is true? Integrity in research and publications: AOA critical issues.The Journal of bone and joint surgery. American volume · 2015
    Article
  4. Knowing and avoiding plagiarism during scientific writing.Annals of medical and health sciences research · 2014
    Review
  5. A new example of unethical behaviour in the academic journal "medical archives".Medical archives (Sarajevo, Bosnia and Herzegovina) · 2014
    Article
  6. Article
  7. Factors associated with research wrongdoing in Nigeria.Journal of empirical research on human research ethics : JERHRE · 2012
    Article
  8. Article
  9. 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

1 author.

H R GarnerVirginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. garner@vbi.vt.edu

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
GENOMICS AND PROTEOMICS OF CELL INJURY AND INFLAMMATIONU01HL066880 · NHLBI · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI JOHNSTON, STEPHEN A · 2000 to 2004
$14.7M
TRAINING IN CARDIOVASCULAR RESEARCHT32HL007360 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI HILL, JOSEPH A · 1985 to 2012
$11.8M
SOFTWARE AND INSTRUMENTATION TO IDENTIFY CANCER GENESR33CA081656 · NCI · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI GARNER, HAROLD R · 2000 to 2002
$1.8M
Duplicate Article/Plagiarism DiscoveryR01LM009758 · NLM · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GARNER, HAROLD R · 2007 to 2009
$781k
The Role of Microsatellite Instability in CancerR01CA096901 · NCI · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI GARNER, HAROLD R · 2003 to 2005
$778k
Exhaustive Analysis of Microsatellite Loci in the 1000 Genomes ProjectU01HG005719 · NHGRI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GARNER, HAROLD R · 2010 to 2011
$529k
SOFTWARE AND INSTRUMENTATION TO IDENTIFY CANCER GENESR21CA081656 · NCI · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI GARNER, HAROLD R · 1999 to 1999
–
NCI NIH HHS P50 CA070907NCI NIH HHS R01 CA096901NCI NIH HHS R21 CA081656NCI NIH HHS R33 CA081656NHGRI NIH HHS U01 HG005719NHLBI NIH HHS T32 HL007360NHLBI NIH HHS U01 HL066880NLM NIH HHS R01 LM009758
6 · The paper itself

Abstract

About 3,000 new citations that are highly similar to citations in previously published manuscripts that appear each year in the biomedical literature (Medline) alone. This underscores the importance for the opportunity for editors and reviewers to have detection system to identify highly similar text in submitted manuscripts so that they can then review them for novelty. New software-based services, both commercial and free, provide this capability. The availability of such tools provides both a way to intercept suspect manuscripts and serve as a deterrent. Unfortunately, the capabilities of these services vary considerably, mainly as a consequence of the availability and completeness of the literature bases to which new queries are compared. Most of the commercial software has been designed for detection of plagiarism in high school and college papers; however, there is at least 1 fee-based service (CrossRef) and 1 free service (etblast.org), which are designed to target the needs of the biomedical publication industry. Information on these various services, examples of the type of operability and output, and things that need to be considered by publishers, editors, and reviewers before selecting and using these services is provided.

Indexed as

PlagiarismBiomedical ResearchHumansPeriodicals as TopicPublishingScientific MisconductSoftware

Identifiers

PMID21194644
PMCPMC3035174

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.