↓ Skip to main content

Automatic Fortran to C++ conversion with FABLE

Overview of attention for article published in Source Code for Biology and Medicine, May 2012
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 122)
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
31 Mendeley
citeulike
1 CiteULike
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
Automatic Fortran to C++ conversion with FABLE
Published in
Source Code for Biology and Medicine, May 2012
DOI 10.1186/1751-0473-7-5
Pubmed ID
Authors

Ralf W Grosse-Kunstleve, Thomas C Terwilliger, Nicholas K Sauter, Paul D Adams

Abstract

In scientific computing, Fortran was the dominant implementation language throughout most of the second part of the 20th century. The many tools accumulated during this time have been difficult to integrate with modern software, which is now dominated by object-oriented languages.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
India 1 3%
Italy 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 32%
Student > Bachelor 5 16%
Student > Ph. D. Student 5 16%
Student > Master 3 10%
Professor > Associate Professor 2 6%
Other 3 10%
Unknown 3 10%
Readers by discipline Count As %
Engineering 7 23%
Agricultural and Biological Sciences 6 19%
Physics and Astronomy 5 16%
Computer Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 7 23%
Unknown 2 6%

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 28 March 2017.
All research outputs
#3,479,521
of 12,434,464 outputs
Outputs from Source Code for Biology and Medicine
#37
of 122 outputs
Outputs of similar age
#32,555
of 119,686 outputs
Outputs of similar age from Source Code for Biology and Medicine
#4
of 5 outputs
Altmetric has tracked 12,434,464 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 122 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 68% 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 119,686 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
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.