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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Creating a live, public short message service corpus: the NUS SMS corpus
|
|---|---|
| Published in |
Language Resources and Evaluation, August 2012
|
| DOI | 10.1007/s10579-012-9197-9 |
| Authors |
Tao Chen, Min-Yen Kan |
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 % |
|---|---|---|
| India | 1 | 50% |
| United States | 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Switzerland | 2 | 2% |
| Malaysia | 1 | 1% |
| China | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 85 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Master | 18 | 19% |
| Researcher | 16 | 17% |
| Student > Bachelor | 7 | 7% |
| Professor > Associate Professor | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 47% |
| Linguistics | 11 | 12% |
| Social Sciences | 5 | 5% |
| Engineering | 4 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 19 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 09 December 2020.
All research outputs
#2,886,549
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#16
of 331 outputs
Outputs of similar age
#19,236
of 171,089 outputs
Outputs of similar age from Language Resources and Evaluation
#1
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% 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 171,089 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 88% of its contemporaries.
We're also able to compare this research output to 2 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