| Title |
State-of-the-Art in Sequential Change-Point Detection
|
|---|---|
| Published in |
Methodology and Computing in Applied Probability, October 2011
|
| DOI | 10.1007/s11009-011-9256-5 |
| Authors |
Aleksey S. Polunchenko, Alexander G. Tartakovsky |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Finland | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 109 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 43% |
| Researcher | 13 | 11% |
| Professor | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Professor > Associate Professor | 5 | 4% |
| Other | 15 | 13% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 23% |
| Engineering | 24 | 21% |
| Mathematics | 20 | 17% |
| Agricultural and Biological Sciences | 5 | 4% |
| Economics, Econometrics and Finance | 5 | 4% |
| Other | 14 | 12% |
| Unknown | 20 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 April 2015.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Methodology and Computing in Applied Probability
#9
of 103 outputs
Outputs of similar age
#53,683
of 153,043 outputs
Outputs of similar age from Methodology and Computing in Applied Probability
#1
of 1 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 67% 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 153,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them