| Title |
Cross-language transfer of semantic annotation via targeted crowdsourcing: task design and evaluation
|
|---|---|
| Published in |
Language Resources and Evaluation, July 2017
|
| DOI | 10.1007/s10579-017-9396-5 |
| Authors |
Evgeny A. Stepanov, Shammur Absar Chowdhury, Ali Orkan Bayer, Arindam Ghosh, Ioannis Klasinas, Marcos Calvo, Emilio Sanchis, Giuseppe Riccardi |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Qatar | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 8 | 27% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 30% |
| Linguistics | 4 | 13% |
| Engineering | 3 | 10% |
| Arts and Humanities | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 February 2018.
All research outputs
#15,002,375
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#192
of 331 outputs
Outputs of similar age
#178,232
of 316,407 outputs
Outputs of similar age from Language Resources and Evaluation
#3
of 8 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 316,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.