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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
On Scaling Decentralized Blockchains
|
|---|---|
| Chapter number | 8 |
| Book title |
Financial Cryptography and Data Security
|
| Published in |
Lecture notes in computer science, August 2016
|
| DOI | 10.1007/978-3-662-53357-4_8 |
| Book ISBNs |
978-3-66-253356-7, 978-3-66-253357-4
|
| Authors |
Kyle Croman, Christian Decker, Ittay Eyal, Adem Efe Gencer, Ari Juels, Ahmed Kosba, Andrew Miller, Prateek Saxena, Elaine Shi, Emin Gün Sirer, Dawn Song, Roger Wattenhofer, Croman, Kyle, Decker, Christian, Eyal, Ittay, Gencer, Adem Efe, Juels, Ari, Kosba, Ahmed, Miller, Andrew, Saxena, Prateek, Shi, Elaine, Gün Sirer, Emin, Song, Dawn, Wattenhofer, Roger |
| Editors |
Jeremy Clark, Sarah Meiklejohn, Peter Y.A. Ryan, Dan Wallach, Michael Brenner, Kurt Rohloff |
X Demographics
The data shown below were collected from the profiles of 14 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 | 2 | 14% |
| Australia | 1 | 7% |
| Unknown | 11 | 79% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 93% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 417 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 93 | 22% |
| Student > Ph. D. Student | 74 | 17% |
| Student > Bachelor | 38 | 9% |
| Researcher | 29 | 7% |
| Student > Doctoral Student | 17 | 4% |
| Other | 59 | 14% |
| Unknown | 113 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 178 | 42% |
| Business, Management and Accounting | 39 | 9% |
| Engineering | 32 | 8% |
| Economics, Econometrics and Finance | 20 | 5% |
| Social Sciences | 8 | 2% |
| Other | 25 | 6% |
| Unknown | 121 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 September 2023.
All research outputs
#515,765
of 24,900,093 outputs
Outputs from Lecture notes in computer science
#45
of 8,151 outputs
Outputs of similar age
#10,254
of 345,146 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 491 outputs
Altmetric has tracked 24,900,093 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 345,146 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 97% of its contemporaries.
We're also able to compare this research output to 491 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 98% of its contemporaries.