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Course-Taking Patterns of Community College Students Beginning in STEM: Using Data Mining Techniques to Reveal Viable STEM Transfer Pathways

Overview of attention for article published in Research in Higher Education, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
130 Mendeley
Title
Course-Taking Patterns of Community College Students Beginning in STEM: Using Data Mining Techniques to Reveal Viable STEM Transfer Pathways
Published in
Research in Higher Education, November 2015
DOI 10.1007/s11162-015-9397-4
Authors

Xueli Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 129 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 22%
Student > Doctoral Student 22 17%
Researcher 11 8%
Student > Master 11 8%
Professor 6 5%
Other 22 17%
Unknown 30 23%
Readers by discipline Count As %
Social Sciences 50 38%
Computer Science 8 6%
Engineering 6 5%
Agricultural and Biological Sciences 4 3%
Mathematics 4 3%
Other 21 16%
Unknown 37 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2016.
All research outputs
#7,469,234
of 22,834,308 outputs
Outputs from Research in Higher Education
#348
of 670 outputs
Outputs of similar age
#119,795
of 387,189 outputs
Outputs of similar age from Research in Higher Education
#7
of 13 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 31st percentile – i.e., 31% 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 387,189 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 55% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.