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akaturk Akademik ölçüm

Makale detayı · 2018 · article

Citation performance of publications grouped by keywords, titles, and abstracts

ISSN2543-9251
YÖKSİS OpenAlex Açık erişim · gold
Yıl2018
Atıf3OpenAlex
Yüzdelik%7,0
FWCI0,01,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıData and Information Management
  • Katalog eşleşmesi (ISSN)Data and Information Management
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

Citation performance of a publication depends heavily on its academic field. Some words in keywords, titles, and abstracts of publications may be indicative of their academic field. Therefore, analysis of differences in citation performance of these words helps us understand inter-field differences in citation performance. In this article, we analyzed citation performance of publications that contain certain words in their keywords, titles, and abstracts in Web of Science from 2010 to 2012. We found that some words do not have a consistent performance. For instance, publications that use a certain word in their keywords have a different average performance compared to publications that use the same word in their titles. Next, we investigated keywords, titles, and abstracts separately. We laid out the words that have the lowest and highest average citations. Words that contain animal names, country names, and mathematical concepts are among the worst performers. Words that contain terminology specific to a scientific field and have relatively lower frequency are among the best performers.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

3atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yazarlar

1
  1. TOLGA YURET İSTANBUL TEKNİK ÜNİVERSİTESİ 1