| Title |
Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation
|
|---|---|
| Published in |
Machine Translation, March 2019
|
| DOI | 10.1007/s10590-019-09227-8 |
| Authors |
Nico Herbig, Santanu Pal, Mihaela Vela, Antonio Krüger, Josef van Genabith |
X Demographics
The data shown below were collected from the profiles of 10 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 | 30% |
| Netherlands | 2 | 20% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 7 | 16% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Researcher | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 11 | 25% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 17 | 39% |
| Arts and Humanities | 4 | 9% |
| Computer Science | 3 | 7% |
| Engineering | 3 | 7% |
| Unspecified | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 11 | 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 17 June 2019.
All research outputs
#4,638,103
of 23,133,982 outputs
Outputs from Machine Translation
#20
of 130 outputs
Outputs of similar age
#98,084
of 351,795 outputs
Outputs of similar age from Machine Translation
#4
of 7 outputs
Altmetric has tracked 23,133,982 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 130 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 84% 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 351,795 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 72% of its contemporaries.
We're also able to compare this research output to 7 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.