| Title |
Towards predicting post-editing productivity
|
|---|---|
| Published in |
Machine Translation, September 2011
|
| DOI | 10.1007/s10590-011-9096-7 |
| Authors |
Sharon O’Brien |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United Kingdom | 2 | 2% |
| Slovenia | 2 | 2% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 105 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 22% |
| Student > Master | 22 | 19% |
| Researcher | 9 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Professor > Associate Professor | 5 | 4% |
| Other | 17 | 15% |
| Unknown | 30 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 45 | 39% |
| Arts and Humanities | 18 | 16% |
| Computer Science | 14 | 12% |
| Business, Management and Accounting | 3 | 3% |
| Engineering | 2 | 2% |
| Other | 4 | 3% |
| Unknown | 29 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 May 2021.
All research outputs
#6,378,772
of 22,663,969 outputs
Outputs from Machine Translation
#33
of 127 outputs
Outputs of similar age
#37,439
of 131,633 outputs
Outputs of similar age from Machine Translation
#1
of 3 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 127 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 74% 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 131,633 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 69% 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