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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Testing the Robustness of Laws of Polysemy and Brevity Versus Frequency
|
|---|---|
| Chapter number | 2 |
| Book title |
Statistical Language and Speech Processing
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-319-45925-7_2 |
| Book ISBNs |
978-3-31-945924-0, 978-3-31-945925-7
|
| Authors |
Hernández Fernández, Antonio, Casas Fernández, Bernardino, Ferrer Cancho, Ramon, Baixeries i Juvillà, Jaume, Antoni Hernández-Fernández, Bernardino Casas, Ramon Ferrer-i-Cancho, Jaume Baixeries, Hernández-Fernández, Antoni, Casas, Bernardino, Ferrer-i-Cancho, Ramon, Baixeries, Jaume |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 18% |
| Unspecified | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 2 | 18% |
| Psychology | 2 | 18% |
| Computer Science | 2 | 18% |
| Unspecified | 1 | 9% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2017.
All research outputs
#17,832,285
of 22,908,162 outputs
Outputs from Lecture notes in computer science
#5,936
of 8,129 outputs
Outputs of similar age
#229,823
of 320,690 outputs
Outputs of similar age from Lecture notes in computer science
#380
of 534 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 26th percentile – i.e., 26% 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 320,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 534 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.