skip to main content
Guest
My Research
My Account
Sign out
Sign in
This feature requires javascript
Library Search
Find Databases
Browse Search
E-Journals A-Z
E-Books A-Z
Citation Linker
Help
Language:
English
Vietnamese
This feature required javascript
This feature requires javascript
Primo Search
All Library Resources
All
Course Materials
Course Materials
Search For:
Clear Search Box
Search in:
All Library Resources
Or hit Enter to replace search target
Or select another collection:
Search in:
All Library Resources
Search in:
Print Resources
Search in:
Digital Resources
Search in:
Online E-Resources
Advanced Search
Browse Search
This feature requires javascript
Search Limited to:
Search Limited to:
Resource type
criteria input
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
Show Results with:
in the title
Show Results with:
anywhere in the record
in the title
as author/creator
in subject
Full Text
ISBN
ISSN
TOC
Keyword
Field
Show Results with:
criteria input
that contain my query words
with my exact phrase
starts with
Show Results with:
Search type Index
criteria input
AND
OR
NOT
This feature requires javascript
The different ways to write publishable research articles
Ibérica (Castellón de la Plana, Spain), 2020-01 (40)
ISSN: 1139-7241 ;EISSN: 2340-2784
Full text available
Citations
Cited by
View Online
Details
Recommendations
Reviews
Times Cited
External Links
This feature requires javascript
Actions
Add to My Research
Remove from My Research
E-mail
Print
Permalink
Citation
EasyBib
EndNote
RefWorks
Delicious
Export RIS
Export BibTeX
This feature requires javascript
Title:
The different ways to write publishable research articles
Author:
Weiyu Zhang
;
Yin Ling Cheung
Subjects:
automated language processing
;
cluster analysis
;
escritura académica
;
linguistic variation
;
writing for publication
;
writing profiles
Is Part Of:
Ibérica (Castellón de la Plana, Spain), 2020-01 (40)
Description:
The exploration of linguistic profiles of research articles (rAs) has been underrepresented in the existing literature. This study utilizes two automated language processing tools and a cluster analysis approach to explore linguistic features and variation of published research articles (N=360) in two hard science disciplines (i.e., Biology and Medicine). Findings show five different profiles characterized by their use of distinct combinations of linguistic features. The identified profiles not only vary between the two disciplines, but also within each discipline. The distinct profiles within each discipline represent the potentially different ways for researchers to write publishable research articles. The study fills the research gap and contributes to a new understanding of linguistic features and variation of rAs
Publisher:
Asociación Europea de Lenguas para Fines Específicos
Language:
English
Identifier:
ISSN: 1139-7241
EISSN: 2340-2784
Source:
Directory of Open Access Journals
This feature requires javascript
This feature requires javascript
Back to results list
This feature requires javascript
This feature requires javascript
Searching Remote Databases, Please Wait
Searching for
in
scope:(TDTS),scope:(SFX),scope:(TDT),scope:(SEN),primo_central_multiple_fe
Show me what you have so far
This feature requires javascript
This feature requires javascript