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A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type

Overview of attention for article published in Advances in Computational Mathematics, December 1996
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About this Attention Score

  • Among the highest-scoring outputs from this source (#12 of 154)

Mentioned by

wikipedia
10 Wikipedia pages

Citations

dimensions_citation
397 Dimensions

Readers on

mendeley
334 Mendeley
citeulike
3 CiteULike
Title
A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type
Published in
Advances in Computational Mathematics, December 1996
DOI 10.1007/bf02127704
Authors

J. Crank, P. Nicolson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 1%
Germany 3 <1%
France 3 <1%
Finland 2 <1%
Italy 2 <1%
Hong Kong 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Colombia 1 <1%
Other 3 <1%
Unknown 312 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 102 31%
Researcher 62 19%
Student > Master 39 12%
Student > Bachelor 23 7%
Student > Doctoral Student 22 7%
Other 44 13%
Unknown 42 13%
Readers by discipline Count As %
Engineering 92 28%
Physics and Astronomy 71 21%
Mathematics 19 6%
Earth and Planetary Sciences 17 5%
Materials Science 16 5%
Other 60 18%
Unknown 59 18%
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 19 November 2018.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Advances in Computational Mathematics
#12
of 154 outputs
Outputs of similar age
#20,544
of 94,403 outputs
Outputs of similar age from Advances in Computational Mathematics
#3
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 154 research outputs from this source. They receive a mean Attention Score of 1.8. This one has gotten more attention than average, scoring higher than 74% 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 94,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.