| Title |
A big data methodology for categorising technical support requests using Hadoop and Mahout
|
|---|---|
| Published in |
Journal of Big Data, June 2014
|
| DOI | 10.1186/2196-1115-1-1 |
| Authors |
Arantxa Duque Barrachina, Aisling O’Driscoll |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Brazil | 1 | 20% |
| Venezuela, Bolivarian Republic of | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Greece | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 107 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 22% |
| Student > Ph. D. Student | 22 | 20% |
| Student > Doctoral Student | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Researcher | 9 | 8% |
| Other | 20 | 18% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 66 | 60% |
| Business, Management and Accounting | 12 | 11% |
| Engineering | 6 | 5% |
| Social Sciences | 2 | 2% |
| Decision Sciences | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 21 | 19% |
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 27 April 2016.
All research outputs
#7,478,728
of 23,680,154 outputs
Outputs from Journal of Big Data
#132
of 358 outputs
Outputs of similar age
#71,056
of 229,422 outputs
Outputs of similar age from Journal of Big Data
#4
of 4 outputs
Altmetric has tracked 23,680,154 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 358 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 63% 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 229,422 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 68% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.