Citation Behavior: A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis

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Standard

Citation Behavior : A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis. / Frandsen, Tove Faber; Nicolaisen, Jeppe.

I: Journal of the Association for Information Science and Technology, Bind 68, Nr. 5, 2017, s. 1278-1284.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Frandsen, TF & Nicolaisen, J 2017, 'Citation Behavior: A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis', Journal of the Association for Information Science and Technology, bind 68, nr. 5, s. 1278-1284. https://doi.org/10.1002/asi.23746

APA

Frandsen, T. F., & Nicolaisen, J. (2017). Citation Behavior: A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis. Journal of the Association for Information Science and Technology, 68(5), 1278-1284. https://doi.org/10.1002/asi.23746

Vancouver

Frandsen TF, Nicolaisen J. Citation Behavior: A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis. Journal of the Association for Information Science and Technology. 2017;68(5):1278-1284. https://doi.org/10.1002/asi.23746

Author

Frandsen, Tove Faber ; Nicolaisen, Jeppe. / Citation Behavior : A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis. I: Journal of the Association for Information Science and Technology. 2017 ; Bind 68, Nr. 5. s. 1278-1284.

Bibtex

@article{3642613888f14da9b74c4254ecdcaee1,
title = "Citation Behavior: A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis",
abstract = "Citation frequencies are commonly interpreted as measures of quality or impact. Yet, the true nature of citations and their proper interpretation have been the center of a long, but still unresolved discussion in Bibliometrics. A comparison of 67,578 pairs of studies on the same healthcare topic, with the same publication age (1–15 years) reveals that when one of the studies is being selected for citation, it has on average received about three times as many citations as the other study. However, the average citation-gap between selected or deselected studies narrows slightly over time, which fits poorly with the name-dropping interpretation and better with the quality and impact-interpretation. The results demonstrate that authors in the field of Healthcare tend to cite highly cited documents when they have a choice. This is more likely caused by differences related to quality than differences related to status of the publications cited.",
author = "Frandsen, {Tove Faber} and Jeppe Nicolaisen",
year = "2017",
doi = "10.1002/asi.23746",
language = "English",
volume = "68",
pages = "1278--1284",
journal = "American Society for Information Science and Technology. Journal",
issn = "2330-1635",
publisher = "Wiley",
number = "5",

}

RIS

TY - JOUR

T1 - Citation Behavior

T2 - A Large-Scale Test of the Persuasion by Name-Dropping Hypothesis

AU - Frandsen, Tove Faber

AU - Nicolaisen, Jeppe

PY - 2017

Y1 - 2017

N2 - Citation frequencies are commonly interpreted as measures of quality or impact. Yet, the true nature of citations and their proper interpretation have been the center of a long, but still unresolved discussion in Bibliometrics. A comparison of 67,578 pairs of studies on the same healthcare topic, with the same publication age (1–15 years) reveals that when one of the studies is being selected for citation, it has on average received about three times as many citations as the other study. However, the average citation-gap between selected or deselected studies narrows slightly over time, which fits poorly with the name-dropping interpretation and better with the quality and impact-interpretation. The results demonstrate that authors in the field of Healthcare tend to cite highly cited documents when they have a choice. This is more likely caused by differences related to quality than differences related to status of the publications cited.

AB - Citation frequencies are commonly interpreted as measures of quality or impact. Yet, the true nature of citations and their proper interpretation have been the center of a long, but still unresolved discussion in Bibliometrics. A comparison of 67,578 pairs of studies on the same healthcare topic, with the same publication age (1–15 years) reveals that when one of the studies is being selected for citation, it has on average received about three times as many citations as the other study. However, the average citation-gap between selected or deselected studies narrows slightly over time, which fits poorly with the name-dropping interpretation and better with the quality and impact-interpretation. The results demonstrate that authors in the field of Healthcare tend to cite highly cited documents when they have a choice. This is more likely caused by differences related to quality than differences related to status of the publications cited.

U2 - 10.1002/asi.23746

DO - 10.1002/asi.23746

M3 - Journal article

VL - 68

SP - 1278

EP - 1284

JO - American Society for Information Science and Technology. Journal

JF - American Society for Information Science and Technology. Journal

SN - 2330-1635

IS - 5

ER -

ID: 157723952