| Title |
KmL: k-means for longitudinal data
|
|---|---|
| Published in |
Computational Statistics, November 2009
|
| DOI | 10.1007/s00180-009-0178-4 |
| Authors |
Christophe Genolini, Bruno Falissard |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| France | 2 | 1% |
| Australia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| China | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 153 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 26% |
| Researcher | 28 | 17% |
| Student > Master | 19 | 12% |
| Student > Doctoral Student | 12 | 7% |
| Professor | 8 | 5% |
| Other | 32 | 20% |
| Unknown | 22 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 24 | 15% |
| Computer Science | 18 | 11% |
| Medicine and Dentistry | 15 | 9% |
| Psychology | 12 | 7% |
| Social Sciences | 11 | 7% |
| Other | 54 | 33% |
| Unknown | 29 | 18% |
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 04 August 2020.
All research outputs
#8,463,388
of 25,837,817 outputs
Outputs from Computational Statistics
#56
of 228 outputs
Outputs of similar age
#51,317
of 181,969 outputs
Outputs of similar age from Computational Statistics
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 74% 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 181,969 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 70% of its contemporaries.
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