The impact of impact factor on small specialties: A case study of family medicine in Taiwan

2006 ◽  
Vol 66 (3) ◽  
pp. 513-520 ◽  
Author(s):  
Ming-Hsien Lin ◽  
Liang-Kung Chen
2010 ◽  
Vol 44-47 ◽  
pp. 13-17
Author(s):  
Hui Sun ◽  
Zhi Qing Fan ◽  
Ying Zhou

Combining with the characters of the practicing qualification personnel in construction market, probabilistic neural network is brought out trying to analyze the credit classification of the practicing qualification personnel. And the impact factor of the number of neurons on the credit classification of the practicing qualification personnel is studied. Then a probabilistic neural network is built. At last, a case study is conducted by taking practicing qualification personnel as an example. The research result reveals that the method can efficiently evaluate the credit of the practicing qualification personnel, thus it could provide scientific advice to the construction enterprise to prevent relevant discreditable behaviors of some practicing qualification personnel.


2015 ◽  
Vol 156 (46) ◽  
pp. 1871-1874
Author(s):  
András Schubert

Case studies and case reports form an important and ever growing part of scientific and scholarly literature. The paper deals with the share and citation rate of these publication types on different fields of research. In general, evidence seems to support the opinion that an excessive number of such publications may negatively influence the impact factor of the journal. In the literature of scientometrics, case studies (at least the presence of the term “case study” in the titles of the papers) have a moderate share, but their citation rate is practically equal to that of other publication types. Orv. Hetil., 2015, 156(46), 1871–1874.


2020 ◽  
Vol 53 (06) ◽  
pp. 247-255
Author(s):  
Christopher Baethge

Abstract Introduction A substantial rate of quotation errors has been reported in medical journal publications: about 25% of all quotations are wrong. It is, however, entirely unclear how important quotation errors are for the message of quoting articles. Methods This is a case study in form of a retrospective quotation analysis of a cohort of 72 psychiatric original articles (index articles) from 5 German-language general psychiatric journals. Main outcomes were importance and accuracy of quotations from the 2 calendar years following the publication of index articles. Results Fifty-one index articles were quoted 235 times in 109 quoting articles. Almost all quotations were of medium (76% [95% CI: 70%; 81%]) or high (20% [15%, 25%]) importance for the message of the quoting paper. Regarding quotation accuracy, 44 quotations (19% [14%; 24%]) were rated as minor, and 51 (22% [17%; 27%]) as major errors. In multivariable analyses, no statistically significant and practically relevant factors associated with quotation inaccuracy emerged, such as self-quotation, impact factor of the quoting journal, or importance. Among quoting articles, 7 (6% [3%; 13%]) showed a pattern of predominantly quoting index articles from the time span relevant to the calculation of the impact factor. Discussion Quotations are important for the message of the quoting paper. Therefore, quotation errors may be detrimental to scientific reasoning and may undermine public trust in medical science. The present investigation is a case study, and its results are exploratory. While it is plausible that the findings translate into other environments, independent replication is needed.


Author(s):  
Hilary I Okagbue ◽  
Patience I Adamu ◽  
Sheila A Bishop ◽  
Emmanuela C M Obasi ◽  
Adedotun O Akinola

<p class="0abstract">The impact factor  and CiteScore of journals are known to be positively correlated with journal percentile but the use of the later to predict the formers are scarcely discussed, especially for journals in a specific subject classifications based on the web of science. This paper proposed different curve estimation models for predicting the impact factor and CiteScore of 89 telecommunication journals using their corresponding percentiles. Out of the 11 models, only Logistic, exponential, Growth and Compound models are the best models for predicting the impact factor and CiteScore using their corresponding journal percentiles. The models were chosen because of their high values of R Square and Adjusted R Square and low values of the standard error of the estimates. In addition, strong significant positive correlations were obtained between impact factor and the CiteScore of the journals. The findings will help authors and editors in decision making as regards to manuscript submission and planning.</p>


2014 ◽  
Vol 587-589 ◽  
pp. 1386-1390
Author(s):  
Hong Ke ◽  
Zhong Xu ◽  
Sai Li

In order to improve the work on investment estimate of municipal bridge project,the paper screens the impact factor of municipal bridge project investment estimation to build municipal bridge project investment estimation model. It regards hollow plate girder bridge as the research object.It obtains the initial set of impact factor affecting municipal bridge project investment model by analyzing the relevant literature using the method of information precipitation.And it screens out 10 feasibility impact factor set by analyzing the data collected by the questionnaire with membership degree analysis.


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