| Title |
Apertium: a free/open-source platform for rule-based machine translation
|
|---|---|
| Published in |
Machine Translation, July 2011
|
| DOI | 10.1007/s10590-011-9090-0 |
| Authors |
Mikel L. Forcada, Mireia Ginestí-Rosell, Jacob Nordfalk, Jim O’Regan, Sergio Ortiz-Rojas, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Gema Ramírez-Sánchez, Francis M. Tyers |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Hungary | 1 | 1% |
| Ireland | 1 | 1% |
| Sweden | 1 | 1% |
| India | 1 | 1% |
| Czechia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Mauritius | 1 | 1% |
| Spain | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 83 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 15 | 16% |
| Researcher | 12 | 13% |
| Lecturer | 9 | 10% |
| Student > Bachelor | 7 | 8% |
| Other | 14 | 15% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 44% |
| Linguistics | 17 | 18% |
| Arts and Humanities | 6 | 6% |
| Engineering | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 20 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 March 2023.
All research outputs
#5,393,063
of 26,017,215 outputs
Outputs from Machine Translation
#20
of 144 outputs
Outputs of similar age
#27,592
of 132,164 outputs
Outputs of similar age from Machine Translation
#1
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 144 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% 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 132,164 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