You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Principles and Methods of Quantum Information Technologies
|
|---|---|
| Published by |
arXiv, January 2016
|
| DOI | 10.1007/978-4-431-55756-2 |
| ISBNs |
978-4-43-155756-2, 978-4-43-155755-5
|
| Authors |
Shuntaro Takeda, Akira Furusawa, Makoto Yamaguchi, Tetsuo Ogawa |
| Editors |
Yamamoto, Yoshihisa, Semba, Kouichi |
X Demographics
The data shown below were collected from the profiles of 27 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 | 7 | 26% |
| Nigeria | 1 | 4% |
| Unknown | 19 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 96% |
| Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Japan | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 129 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 28% |
| Researcher | 24 | 18% |
| Student > Master | 21 | 16% |
| Student > Bachelor | 5 | 4% |
| Professor > Associate Professor | 5 | 4% |
| Other | 17 | 13% |
| Unknown | 25 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 78 | 58% |
| Engineering | 15 | 11% |
| Chemistry | 3 | 2% |
| Materials Science | 3 | 2% |
| Computer Science | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 27 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 December 2022.
All research outputs
#1,592,061
of 25,470,300 outputs
Outputs from arXiv
#23,698
of 920,809 outputs
Outputs of similar age
#26,764
of 400,256 outputs
Outputs of similar age from arXiv
#252
of 12,483 outputs
Altmetric has tracked 25,470,300 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 920,809 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 400,256 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 12,483 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 97% of its contemporaries.