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Text-Based Plagiarism in Scientific Writing: What Chinese Supervisors Think About Copying and How to Reduce it in Students’ Writing

Overview of attention for article published in Science and Engineering Ethics, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
q&a
1 Q&A thread

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
90 Mendeley
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Title
Text-Based Plagiarism in Scientific Writing: What Chinese Supervisors Think About Copying and How to Reduce it in Students’ Writing
Published in
Science and Engineering Ethics, January 2012
DOI 10.1007/s11948-011-9342-7
Pubmed ID
Authors

Yongyan Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Bangladesh 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 12%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 9 10%
Lecturer 7 8%
Professor > Associate Professor 6 7%
Other 26 29%
Unknown 22 24%
Readers by discipline Count As %
Linguistics 15 17%
Medicine and Dentistry 12 13%
Social Sciences 12 13%
Computer Science 5 6%
Arts and Humanities 4 4%
Other 20 22%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2021.
All research outputs
#7,406,676
of 23,911,072 outputs
Outputs from Science and Engineering Ethics
#480
of 947 outputs
Outputs of similar age
#66,296
of 250,226 outputs
Outputs of similar age from Science and Engineering Ethics
#4
of 8 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 947 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,226 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.