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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Extensible Extraction of Efficient Imperative Programs with Foreign Functions, Manually Managed Memory, and Proofs
|
|---|---|
| Chapter number | 7 |
| Book title |
Lecture Notes in Computer Science
|
| Published in |
Lecture notes in computer science, June 2020
|
| DOI | 10.1007/978-3-030-51054-1_7 |
| Book ISBNs |
978-3-03-051053-4, 978-3-03-051054-1
|
| Authors |
Clément Pit-Claudel, Peng Wang, Benjamin Delaware, Jason Gross, Adam Chlipala, Pit-Claudel, Clément, Wang, Peng, Delaware, Benjamin, Gross, Jason, Chlipala, Adam |
X Demographics
The data shown below were collected from the profiles of 8 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 | 50% |
| France | 1 | 13% |
| Brazil | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 50% |
| Student > Ph. D. Student | 2 | 33% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 67% |
| Engineering | 1 | 17% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 July 2020.
All research outputs
#5,148,640
of 24,397,600 outputs
Outputs from Lecture notes in computer science
#1,601
of 8,154 outputs
Outputs of similar age
#118,986
of 404,464 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 22 outputs
Altmetric has tracked 24,397,600 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 80% 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 404,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 22 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 95% of its contemporaries.