↓ Skip to main content

Wrangling distributed computing for high-throughput environmental science: An introduction to HTCondor

Overview of attention for article published in PLoS Computational Biology, October 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
googleplus
1 Google+ user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Wrangling distributed computing for high-throughput environmental science: An introduction to HTCondor
Published in
PLoS Computational Biology, October 2018
DOI 10.1371/journal.pcbi.1006468
Pubmed ID
Authors

Richard A. Erickson, Michael N. Fienen, S. Grace McCalla, Emily L. Weiser, Melvin L. Bower, Jonathan M. Knudson, Greg Thain

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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 4 15%
Other 3 11%
Student > Bachelor 3 11%
Librarian 1 4%
Other 2 7%
Unknown 9 33%
Readers by discipline Count As %
Computer Science 4 15%
Agricultural and Biological Sciences 4 15%
Biochemistry, Genetics and Molecular Biology 3 11%
Earth and Planetary Sciences 2 7%
Engineering 2 7%
Other 4 15%
Unknown 8 30%
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 10 October 2018.
All research outputs
#14,835,589
of 25,727,480 outputs
Outputs from PLoS Computational Biology
#6,181
of 9,022 outputs
Outputs of similar age
#176,619
of 356,409 outputs
Outputs of similar age from PLoS Computational Biology
#103
of 132 outputs
Altmetric has tracked 25,727,480 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 29th percentile – i.e., 29% 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 356,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.