| Title |
Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian
|
|---|---|
| Published in |
Machine Translation, February 2018
|
| DOI | 10.1007/s10590-018-9214-x |
| Authors |
Filip Klubička, Antonio Toral, Víctor M. Sánchez-Cartagena |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| Ireland | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
| Scientists | 1 | 8% |
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 % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Lecturer | 5 | 12% |
| Student > Doctoral Student | 5 | 12% |
| Student > Master | 3 | 7% |
| Professor > Associate Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 14 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 11 | 27% |
| Computer Science | 8 | 20% |
| Arts and Humanities | 6 | 15% |
| Social Sciences | 2 | 5% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 May 2022.
All research outputs
#6,301,242
of 24,002,307 outputs
Outputs from Machine Translation
#33
of 135 outputs
Outputs of similar age
#126,093
of 450,775 outputs
Outputs of similar age from Machine Translation
#2
of 5 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 135 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 76% 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 450,775 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. This one has scored higher than 3 of them.