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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Finite Vector Spaces as Model of Simply-Typed Lambda-Calculi
|
|---|---|
| Chapter number | 26 |
| Book title |
Theoretical Aspects of Computing – ICTAC 2014
|
| Published in |
arXiv, September 2014
|
| DOI | 10.1007/978-3-319-10882-7_26 |
| Book ISBNs |
978-3-31-910881-0, 978-3-31-910882-7
|
| Authors |
Benoît Valiron, Steve Zdancewic |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Philippines | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 67% |
| Student > Master | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 33% |
| Physics and Astronomy | 1 | 33% |
| Unknown | 1 | 33% |
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 23 September 2017.
All research outputs
#15,301,754
of 22,757,090 outputs
Outputs from arXiv
#372,893
of 933,974 outputs
Outputs of similar age
#144,331
of 249,453 outputs
Outputs of similar age from arXiv
#2,302
of 10,340 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 933,974 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 249,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,340 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.