| Title |
Evaluating MT for massive open online courses
|
|---|---|
| Published in |
Machine Translation, August 2018
|
| DOI | 10.1007/s10590-018-9221-y |
| Authors |
Sheila Castilho, Joss Moorkens, Federico Gaspari, Rico Sennrich, Andy Way, Panayota Georgakopoulou |
X Demographics
The data shown below were collected from the profiles of 19 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 | 7 | 37% |
| Brazil | 1 | 5% |
| United States | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Italy | 1 | 5% |
| United Kingdom | 1 | 5% |
| Mexico | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 5 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 24% |
| Student > Doctoral Student | 3 | 12% |
| Lecturer | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 8 | 32% |
| Arts and Humanities | 4 | 16% |
| Social Sciences | 3 | 12% |
| Engineering | 2 | 8% |
| Computer Science | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 5 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 17 May 2019.
All research outputs
#1,841,487
of 23,100,534 outputs
Outputs from Machine Translation
#5
of 130 outputs
Outputs of similar age
#40,268
of 333,251 outputs
Outputs of similar age from Machine Translation
#1
of 1 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 130 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 333,251 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 87% of its contemporaries.
We're also able to compare this research output to 1 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