| Title |
Evaluation measures for hierarchical classification: a unified view and novel approaches
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, September 2014
|
| DOI | 10.1007/s10618-014-0382-x |
| Authors |
Aris Kosmopoulos, Ioannis Partalas, Eric Gaussier, Georgios Paliouras, Ion Androutsopoulos |
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 % |
|---|---|---|
| Greece | 2 | 40% |
| Philippines | 1 | 20% |
| Norway | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Hungary | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 116 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 28% |
| Student > Master | 22 | 18% |
| Researcher | 16 | 13% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 5 | 4% |
| Other | 20 | 17% |
| Unknown | 15 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 58% |
| Engineering | 8 | 7% |
| Agricultural and Biological Sciences | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Physics and Astronomy | 3 | 3% |
| Other | 12 | 10% |
| Unknown | 19 | 16% |
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 26 September 2014.
All research outputs
#14,169,511
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#271
of 546 outputs
Outputs of similar age
#116,499
of 241,936 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#5
of 8 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 47th percentile – i.e., 47% 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 241,936 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 50% of its contemporaries.
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 3 of them.