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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Lectures on General Quantum Correlations and their Applications
|
|---|---|
| Published by |
arXiv, January 2017
|
| DOI | 10.1007/978-3-319-53412-1 |
| ISBNs |
978-3-31-953412-1, 978-3-31-953410-7
|
| Authors |
Himadri Shekhar Dhar, Amit Kumar Pal, Debraj Rakshit, Aditi Sen De, Ujjwal Sen |
| Editors |
Felipe Fernandes Fanchini, Diogo de Oliveira Soares Pinto, Gerardo Adesso |
Twitter Demographics
The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 16% |
| United Kingdom | 3 | 16% |
| Italy | 1 | 5% |
| France | 1 | 5% |
| Russia | 1 | 5% |
| Germany | 1 | 5% |
| Guinea-Bissau | 1 | 5% |
| India | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 58% |
| Scientists | 7 | 37% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 4% |
| United States | 1 | 4% |
| Slovakia | 1 | 4% |
| Unknown | 20 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 57% |
| Researcher | 7 | 30% |
| Student > Master | 5 | 22% |
| Student > Bachelor | 3 | 13% |
| Professor > Associate Professor | 2 | 9% |
| Other | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 27 | 117% |
| Computer Science | 3 | 13% |
| Chemistry | 1 | 4% |
| Engineering | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 March 2019.
All research outputs
#3,116,041
of 24,226,848 outputs
Outputs from arXiv
#57,128
of 1,027,652 outputs
Outputs of similar age
#61,816
of 428,849 outputs
Outputs of similar age from arXiv
#1,033
of 16,758 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,027,652 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 94% 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 428,849 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 16,758 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 93% of its contemporaries.