| Title |
Why Neighbor-Joining Works
|
|---|---|
| Published in |
Algorithmica, December 2007
|
| DOI | 10.1007/s00453-007-9116-4 |
| Authors |
Radu Mihaescu, Dan Levy, Lior Pachter |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| United States | 2 | 2% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Colombia | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 100 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 18% |
| Student > Master | 20 | 18% |
| Student > Ph. D. Student | 18 | 16% |
| Student > Bachelor | 10 | 9% |
| Student > Postgraduate | 10 | 9% |
| Other | 19 | 17% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 41% |
| Computer Science | 15 | 14% |
| Biochemistry, Genetics and Molecular Biology | 11 | 10% |
| Mathematics | 6 | 5% |
| Environmental Science | 6 | 5% |
| Other | 13 | 12% |
| Unknown | 15 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 21 February 2024.
All research outputs
#2,501,258
of 23,452,723 outputs
Outputs from Algorithmica
#9
of 424 outputs
Outputs of similar age
#9,675
of 158,443 outputs
Outputs of similar age from Algorithmica
#2
of 7 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 424 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 158,443 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.