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A monte carlo method for factorization

Overview of attention for article published in BIT Numerical Mathematics, September 1975
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 204)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

policy
1 policy source
patent
2 patents
wikipedia
8 Wikipedia pages

Citations

dimensions_citation
249 Dimensions

Readers on

mendeley
41 Mendeley
Title
A monte carlo method for factorization
Published in
BIT Numerical Mathematics, September 1975
DOI 10.1007/bf01933667
Authors

J. M. Pollard

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Italy 1 2%
Brazil 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Bachelor 7 17%
Researcher 5 12%
Student > Master 4 10%
Lecturer 2 5%
Other 7 17%
Unknown 9 22%
Readers by discipline Count As %
Computer Science 20 49%
Mathematics 9 22%
Agricultural and Biological Sciences 2 5%
Unspecified 1 2%
Engineering 1 2%
Other 0 0%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 August 2021.
All research outputs
#3,525,086
of 24,024,220 outputs
Outputs from BIT Numerical Mathematics
#4
of 204 outputs
Outputs of similar age
#261
of 4,755 outputs
Outputs of similar age from BIT Numerical Mathematics
#1
of 2 outputs
Altmetric has tracked 24,024,220 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 204 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 98% 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 4,755 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 2 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