| Title |
Customer support ticket escalation prediction using feature engineering
|
|---|---|
| Published in |
Requirements Engineering, April 2018
|
| DOI | 10.1007/s00766-018-0292-3 |
| Authors |
Lloyd Montgomery, Daniela Damian, Tyson Bulmer, Shaikh Quader |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| Canada | 1 | 25% |
| Germany | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Unspecified | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 24 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 35% |
| Engineering | 7 | 11% |
| Unspecified | 4 | 6% |
| Business, Management and Accounting | 3 | 5% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 24 | 38% |
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 21 August 2018.
All research outputs
#7,474,330
of 23,100,534 outputs
Outputs from Requirements Engineering
#50
of 199 outputs
Outputs of similar age
#130,229
of 329,673 outputs
Outputs of similar age from Requirements Engineering
#3
of 5 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 199 research outputs from this source. They receive a mean Attention Score of 2.8. 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 329,673 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 60% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.