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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Large-Scale Multi-label Text Classification — Revisiting Neural Networks
|
|---|---|
| Chapter number | 28 |
| Book title |
Machine Learning and Knowledge Discovery in Databases
|
| Published in |
arXiv, September 2014
|
| DOI | 10.1007/978-3-662-44851-9_28 |
| Book ISBNs |
978-3-66-244850-2, 978-3-66-244851-9
|
| Authors |
Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz |
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 % |
|---|---|---|
| Japan | 1 | 25% |
| Philippines | 1 | 25% |
| Norway | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | <1% |
| Turkey | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Hong Kong | 1 | <1% |
| Czechia | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 277 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 64 | 22% |
| Student > Ph. D. Student | 51 | 18% |
| Researcher | 28 | 10% |
| Student > Bachelor | 27 | 9% |
| Student > Doctoral Student | 14 | 5% |
| Other | 42 | 15% |
| Unknown | 62 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 169 | 59% |
| Engineering | 14 | 5% |
| Business, Management and Accounting | 5 | 2% |
| Mathematics | 5 | 2% |
| Social Sciences | 4 | 1% |
| Other | 19 | 7% |
| Unknown | 72 | 25% |
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 01 June 2018.
All research outputs
#13,398,398
of 22,736,112 outputs
Outputs from arXiv
#228,005
of 932,835 outputs
Outputs of similar age
#117,687
of 246,429 outputs
Outputs of similar age from arXiv
#1,261
of 10,177 outputs
Altmetric has tracked 22,736,112 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 932,835 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 246,429 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 10,177 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.