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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
An Introduction to Quantum Programming in Quipper
|
|---|---|
| Chapter number | 10 |
| Book title |
Reversible Computation
|
| Published in |
arXiv, April 2013
|
| DOI | 10.1007/978-3-642-38986-3_10 |
| Book ISBNs |
978-3-64-238985-6, 978-3-64-238986-3
|
| Authors |
Alexander S. Green, Peter LeFanu Lumsdaine, Neil J. Ross, Peter Selinger, Benoît Valiron, Green, Alexander S., Lumsdaine, Peter LeFanu, Ross, Neil J., Selinger, Peter, Valiron, Benoît |
X Demographics
The data shown below were collected from the profiles of 84 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 | 14 | 17% |
| United Kingdom | 7 | 8% |
| Russia | 7 | 8% |
| Spain | 3 | 4% |
| Australia | 3 | 4% |
| Japan | 2 | 2% |
| Germany | 2 | 2% |
| Brazil | 2 | 2% |
| Ukraine | 2 | 2% |
| Other | 15 | 18% |
| Unknown | 27 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 68 | 81% |
| Scientists | 13 | 15% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 2 | 2% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 107 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 22% |
| Researcher | 25 | 22% |
| Student > Bachelor | 17 | 15% |
| Student > Master | 16 | 14% |
| Other | 5 | 4% |
| Other | 15 | 13% |
| Unknown | 11 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 49 | 43% |
| Physics and Astronomy | 26 | 23% |
| Mathematics | 10 | 9% |
| Engineering | 10 | 9% |
| Chemistry | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 11 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 139. 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 03 March 2024.
All research outputs
#296,936
of 25,353,525 outputs
Outputs from arXiv
#3,520
of 1,036,022 outputs
Outputs of similar age
#1,893
of 203,685 outputs
Outputs of similar age from arXiv
#16
of 7,270 outputs
Altmetric has tracked 25,353,525 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,036,022 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 99% 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 203,685 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 99% of its contemporaries.
We're also able to compare this research output to 7,270 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 99% of its contemporaries.