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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Is Structural Subtyping Useful? An Empirical Study
|
|---|---|
| Chapter number | 8 |
| Book title |
Programming Languages and Systems
|
| Published in |
Lecture notes in computer science, January 2009
|
| DOI | 10.1007/978-3-642-00590-9_8 |
| Book ISBNs |
978-3-64-200589-3, 978-3-64-200590-9
|
| Authors |
Donna Malayeri, Jonathan Aldrich, Giuseppe Castagna, Malayeri, Donna, Aldrich, Jonathan |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
| Unknown | 12 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Japan | 1 | 5% |
| New Zealand | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 16 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 45% |
| Professor > Associate Professor | 3 | 15% |
| Professor | 2 | 10% |
| Other | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 90% |
| Chemistry | 1 | 5% |
| Unknown | 1 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 14 August 2014.
All research outputs
#2,603,964
of 25,600,774 outputs
Outputs from Lecture notes in computer science
#466
of 8,163 outputs
Outputs of similar age
#11,658
of 184,275 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 175 outputs
Altmetric has tracked 25,600,774 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% 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 184,275 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 93% of its contemporaries.
We're also able to compare this research output to 175 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 96% of its contemporaries.