| Title |
Assessing gender bias in machine translation: a case study with Google Translate
|
|---|---|
| Published in |
Neural Computing and Applications, March 2019
|
| DOI | 10.1007/s00521-019-04144-6 |
| Authors |
Marcelo O. R. Prates, Pedro H. Avelar, Luís C. Lamb |
X Demographics
The data shown below were collected from the profiles of 36 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 | 7 | 19% |
| Canada | 5 | 14% |
| Brazil | 5 | 14% |
| United Kingdom | 2 | 6% |
| Germany | 1 | 3% |
| Austria | 1 | 3% |
| Unknown | 15 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 75% |
| Scientists | 9 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 307 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 14% |
| Student > Master | 35 | 11% |
| Student > Bachelor | 33 | 11% |
| Researcher | 18 | 6% |
| Lecturer | 17 | 6% |
| Other | 43 | 14% |
| Unknown | 119 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 58 | 19% |
| Linguistics | 28 | 9% |
| Social Sciences | 20 | 7% |
| Business, Management and Accounting | 13 | 4% |
| Arts and Humanities | 13 | 4% |
| Other | 45 | 15% |
| Unknown | 130 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 13 April 2024.
All research outputs
#648,771
of 25,199,243 outputs
Outputs from Neural Computing and Applications
#3
of 2,520 outputs
Outputs of similar age
#14,934
of 358,465 outputs
Outputs of similar age from Neural Computing and Applications
#2
of 16 outputs
Altmetric has tracked 25,199,243 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,520 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 99% 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 358,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.