Title |
Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods
|
---|---|
Published in |
PLoS Computational Biology, February 2006
|
DOI | 10.1371/journal.pcbi.0020006 |
Pubmed ID | |
Authors |
Kai Puolamäki, Mikael Fortelius, Heikki Mannila |
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 % |
---|---|---|
Lithuania | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 5% |
United States | 3 | 5% |
Chile | 1 | 2% |
Brazil | 1 | 2% |
Bulgaria | 1 | 2% |
Argentina | 1 | 2% |
Finland | 1 | 2% |
Unknown | 44 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 33% |
Student > Ph. D. Student | 7 | 13% |
Professor | 6 | 11% |
Professor > Associate Professor | 6 | 11% |
Student > Master | 6 | 11% |
Other | 7 | 13% |
Unknown | 5 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 35% |
Earth and Planetary Sciences | 12 | 22% |
Computer Science | 6 | 11% |
Environmental Science | 4 | 7% |
Arts and Humanities | 3 | 5% |
Other | 4 | 7% |
Unknown | 7 | 13% |