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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Surprising results on phylogenetic tree building methods based on molecular sequences
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-148 |
| Pubmed ID | |
| Authors |
Gaston H Gonnet |
| Abstract |
We analyze phylogenetic tree building methods from molecular sequences (PTMS). These are methods which base their construction solely on sequences, coding DNA or amino acids. |
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% |
| Canada | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 2 | 3% |
| Norway | 1 | 1% |
| Sweden | 1 | 1% |
| India | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| France | 1 | 1% |
| Japan | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 64 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 32% |
| Student > Ph. D. Student | 16 | 21% |
| Student > Master | 12 | 16% |
| Student > Bachelor | 9 | 12% |
| Student > Postgraduate | 6 | 8% |
| Other | 8 | 10% |
| Unknown | 1 | 1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 66% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Computer Science | 5 | 6% |
| Mathematics | 2 | 3% |
| Earth and Planetary Sciences | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 2 | 3% |
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 11 July 2012.
All research outputs
#13,132,060
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#3,998
of 7,247 outputs
Outputs of similar age
#89,703
of 164,426 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 98 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 164,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.