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Mendeley readers
Attention Score in Context
| Chapter title |
Decomposing typed lambda calculus into a couple of categorical programming languages
|
|---|---|
| Chapter number | 28 |
| Book title |
Category Theory and Computer Science
|
| Published in |
Lecture notes in computer science, August 1995
|
| DOI | 10.1007/3-540-60164-3_28 |
| Book ISBNs |
978-3-54-060164-7, 978-3-54-044661-3
|
| Authors |
Masahito Hasegawa |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 5% |
| Spain | 1 | 5% |
| United States | 1 | 5% |
| Brazil | 1 | 5% |
| Unknown | 15 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Other | 4 | 21% |
| Student > Ph. D. Student | 4 | 21% |
| Student > Bachelor | 3 | 16% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 58% |
| Mathematics | 5 | 26% |
| Chemistry | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 1 | 5% |
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 08 July 2016.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#7,039
of 23,635 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 7 outputs
Altmetric has tracked 22,790,780 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 8,127 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 23,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them