| Title |
The first Automatic Translation Memory Cleaning Shared Task
|
|---|---|
| Published in |
Machine Translation, January 2017
|
| DOI | 10.1007/s10590-016-9183-x |
| Authors |
Eduard Barbu, Carla Parra Escartín, Luisa Bentivogli, Matteo Negri, Marco Turchi, Constantin Orasan, Marcello Federico |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 3 | 43% |
| United Kingdom | 2 | 29% |
| South Africa | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 25% |
| Researcher | 4 | 25% |
| Other | 1 | 6% |
| Professor | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 6 | 38% |
| Computer Science | 3 | 19% |
| Business, Management and Accounting | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
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 15 May 2017.
All research outputs
#4,727,758
of 22,940,083 outputs
Outputs from Machine Translation
#23
of 129 outputs
Outputs of similar age
#97,513
of 418,332 outputs
Outputs of similar age from Machine Translation
#2
of 9 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 129 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 81% 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 418,332 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 76% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.