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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated analysis of phylogenetic clusters
|
|---|---|
| Published in |
BMC Bioinformatics, November 2013
|
| DOI | 10.1186/1471-2105-14-317 |
| Pubmed ID | |
| Authors |
Manon Ragonnet-Cronin, Emma Hodcroft, Stéphane Hué, Esther Fearnhill, Valerie Delpech, Andrew J Leigh Brown, Samantha Lycett |
| Abstract |
As sequence data sets used for the investigation of pathogen transmission patterns increase in size, automated tools and standardized methods for cluster analysis have become necessary. We have developed an automated Cluster Picker which identifies monophyletic clades meeting user-input criteria for bootstrap support and maximum genetic distance within large phylogenetic trees. A second tool, the Cluster Matcher, automates the process of linking genetic data to epidemiological or clinical data, and matches clusters between runs of the Cluster Picker. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 17% |
| United Kingdom | 2 | 17% |
| Switzerland | 1 | 8% |
| Malawi | 1 | 8% |
| Germany | 1 | 8% |
| Sweden | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 58% |
| Members of the public | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 243 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 22% |
| Student > Ph. D. Student | 52 | 21% |
| Student > Master | 41 | 16% |
| Student > Bachelor | 18 | 7% |
| Student > Doctoral Student | 12 | 5% |
| Other | 36 | 14% |
| Unknown | 37 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 27% |
| Biochemistry, Genetics and Molecular Biology | 53 | 21% |
| Medicine and Dentistry | 25 | 10% |
| Immunology and Microbiology | 17 | 7% |
| Computer Science | 13 | 5% |
| Other | 30 | 12% |
| Unknown | 45 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 24 April 2023.
All research outputs
#3,525,716
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#1,143
of 7,793 outputs
Outputs of similar age
#31,945
of 233,002 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 121 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 85% 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 233,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.