↓ Skip to main content

A long-term, temporally consistent, gridded daily meteorological dataset for northwestern North America

Overview of attention for article published in Scientific Data, January 2019
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
65 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
A long-term, temporally consistent, gridded daily meteorological dataset for northwestern North America
Published in
Scientific Data, January 2019
DOI 10.1038/sdata.2018.299
Pubmed ID
Authors

A. T. Werner, M. A. Schnorbus, R. R. Shrestha, A. J. Cannon, F. W. Zwiers, G. Dayon, F. Anslow

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 9 14%
Student > Master 7 11%
Other 4 6%
Student > Doctoral Student 2 3%
Other 7 11%
Unknown 21 32%
Readers by discipline Count As %
Environmental Science 16 25%
Earth and Planetary Sciences 12 18%
Engineering 7 11%
Agricultural and Biological Sciences 3 5%
Unspecified 2 3%
Other 2 3%
Unknown 23 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 January 2019.
All research outputs
#4,223,305
of 23,122,481 outputs
Outputs from Scientific Data
#1,253
of 2,523 outputs
Outputs of similar age
#103,353
of 470,446 outputs
Outputs of similar age from Scientific Data
#29
of 71 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 470,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.