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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Publish or Perish: A Backward-Compatible Defense Against Selfish Mining in Bitcoin
|
---|---|
Chapter number | 16 |
Book title |
Topics in Cryptology – CT-RSA 2017
|
Published in |
Lecture notes in computer science, January 2017
|
DOI | 10.1007/978-3-319-52153-4_16 |
Book ISBNs |
978-3-31-952152-7, 978-3-31-952153-4
|
Authors |
Ren Zhang, Bart Preneel, Ren Zhang, Bart Preneel |
Editors |
Helena Handschuh |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Nigeria | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 86 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 20% |
Student > Master | 12 | 14% |
Student > Bachelor | 8 | 9% |
Researcher | 6 | 7% |
Student > Doctoral Student | 5 | 6% |
Other | 15 | 17% |
Unknown | 23 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 41% |
Engineering | 8 | 9% |
Economics, Econometrics and Finance | 6 | 7% |
Social Sciences | 5 | 6% |
Business, Management and Accounting | 2 | 2% |
Other | 3 | 3% |
Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 April 2017.
All research outputs
#7,000,433
of 22,931,367 outputs
Outputs from Lecture notes in computer science
#2,289
of 8,129 outputs
Outputs of similar age
#131,231
of 421,506 outputs
Outputs of similar age from Lecture notes in computer science
#65
of 143 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% 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 421,506 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 68% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.