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Reproducibility Starts at the Source: R, Python, and Julia Packages for Retrieving USGS Hydrologic Data

Overview of attention for article published in Water, December 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Readers on

mendeley
5 Mendeley
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Title
Reproducibility Starts at the Source: R, Python, and Julia Packages for Retrieving USGS Hydrologic Data
Published in
Water, December 2023
DOI 10.3390/w15244236
Authors

Timothy O. Hodson, Laura A. DeCicco, Jayaram A. Hariharan, Lee F. Stanish, Scott Black, Jeffery S. Horsburgh

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Librarian 1 20%
Professor > Associate Professor 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Engineering 2 40%
Environmental Science 1 20%
Social Sciences 1 20%
Agricultural and Biological Sciences 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 December 2023.
All research outputs
#16,987,442
of 24,970,080 outputs
Outputs from Water
#3,412
of 7,333 outputs
Outputs of similar age
#90,608
of 175,769 outputs
Outputs of similar age from Water
#35
of 517 outputs
Altmetric has tracked 24,970,080 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,333 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 27th percentile – i.e., 27% 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 175,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.