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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Language Individuation and Marker Words: Shakespeare and His Maxwell's Demon
|
|---|---|
| Published in |
PLOS ONE, June 2013
|
| DOI | 10.1371/journal.pone.0066813 |
| Pubmed ID | |
| Authors |
John Marsden, David Budden, Hugh Craig, Pablo Moscato |
| Abstract |
Within the structural and grammatical bounds of a common language, all authors develop their own distinctive writing styles. Whether the relative occurrence of common words can be measured to produce accurate models of authorship is of particular interest. This work introduces a new score that helps to highlight such variations in word occurrence, and is applied to produce models of authorship of a large group of plays from the Shakespearean era. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 4 | 25% |
| Australia | 2 | 13% |
| United Kingdom | 1 | 6% |
| Spain | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 6% |
| Peru | 1 | 3% |
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 28 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Researcher | 4 | 12% |
| Student > Master | 4 | 12% |
| Other | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Other | 7 | 21% |
| Unknown | 5 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 12 | 35% |
| Linguistics | 5 | 15% |
| Agricultural and Biological Sciences | 4 | 12% |
| Computer Science | 3 | 9% |
| Social Sciences | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 17 July 2018.
All research outputs
#648,828
of 24,456,171 outputs
Outputs from PLOS ONE
#8,890
of 211,110 outputs
Outputs of similar age
#4,911
of 200,759 outputs
Outputs of similar age from PLOS ONE
#241
of 4,725 outputs
Altmetric has tracked 24,456,171 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211,110 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 95% 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 200,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 4,725 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.