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Adjoint Methods in Data Assimilation for Estimating Model Error

Overview of attention for article published in Applied Scientific Research, Section B, December 2000
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About this Attention Score

  • Among the highest-scoring outputs from this source (#19 of 597)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
48 Mendeley
Title
Adjoint Methods in Data Assimilation for Estimating Model Error
Published in
Applied Scientific Research, Section B, December 2000
DOI 10.1023/a:1011454109203
Authors

A.K. Griffith, N.K. Nichols

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
Italy 1 2%
United Kingdom 1 2%
Russia 1 2%
United States 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 11 23%
Lecturer 3 6%
Student > Master 3 6%
Professor 2 4%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Engineering 19 40%
Earth and Planetary Sciences 8 17%
Environmental Science 3 6%
Mathematics 3 6%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 13 27%
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 16 July 2014.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from Applied Scientific Research, Section B
#19
of 597 outputs
Outputs of similar age
#21,005
of 114,379 outputs
Outputs of similar age from Applied Scientific Research, Section B
#1
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 597 research outputs from this source. They receive a mean Attention Score of 1.1. This one has done particularly well, scoring higher than 96% 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 114,379 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 78% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them