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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 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 | 33 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 28% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Professor > Associate Professor | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 22% |
| Physics and Astronomy | 6 | 17% |
| Agricultural and Biological Sciences | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 7 | 19% |
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 28 March 2017.
All research outputs
#12,663,971
of 22,668,244 outputs
Outputs from Source Code for Biology and Medicine
#50
of 127 outputs
Outputs of similar age
#86,912
of 165,043 outputs
Outputs of similar age from Source Code for Biology and Medicine
#6
of 6 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 59% 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 165,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.