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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Linguistics and Intelligent Text Processing
|
|---|---|
| Published by |
Lecture notes in computer science, January 2011
|
| DOI | 10.1007/978-3-642-19437-5 |
| ISBNs |
978-3-64-219436-8, 978-3-64-219437-5
|
| Authors |
Alexander Gelbukh, Liu, Xiaohua, Han, Bo, Zhou, Ming |
| Editors |
Alexander Gelbukh |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 5 | 71% |
| Japan | 1 | 14% |
| Ireland | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Researcher | 1 | 8% |
| Unknown | 8 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 17% |
| Linguistics | 1 | 8% |
| Decision Sciences | 1 | 8% |
| Unknown | 8 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 29 October 2017.
All research outputs
#3,689,012
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#871
of 8,126 outputs
Outputs of similar age
#24,269
of 180,739 outputs
Outputs of similar age from Lecture notes in computer science
#19
of 317 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% 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 180,739 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.