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Mendeley readers
Attention Score in Context
| Chapter title |
A Universal Phrase Tagset for Multilingual Treebanks
|
|---|---|
| Chapter number | 22 |
| Book title |
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
|
| Published in |
Lecture notes in computer science, January 2016
|
| DOI | 10.1007/978-3-319-12277-9_22 |
| Book ISBNs |
978-3-31-912276-2, 978-3-31-912277-9
|
| Authors |
Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, Yi Lu, Liangye He, Liang Tian, Han, Aaron Li-Feng, Wong, Derek F., Chao, Lidia S., Lu, Yi, He, Liangye, Tian, Liang |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Professor > Associate Professor | 1 | 20% |
| Researcher | 1 | 20% |
| Lecturer | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 60% |
| Linguistics | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 January 2019.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,125 outputs
Outputs of similar age
#124,745
of 395,009 outputs
Outputs of similar age from Lecture notes in computer science
#236
of 515 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 395,009 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 56% of its contemporaries.
We're also able to compare this research output to 515 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.