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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Harnessing machine learning to guide phylogenetic-tree search algorithms
|
|---|---|
| Published in |
Nature Communications, March 2021
|
| DOI | 10.1038/s41467-021-22073-8 |
| Pubmed ID | |
| Authors |
Dana Azouri, Shiran Abadi, Yishay Mansour, Itay Mayrose, Tal Pupko |
X Demographics
The data shown below were collected from the profiles of 60 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 | 5 | 8% |
| Canada | 2 | 3% |
| United Kingdom | 2 | 3% |
| Israel | 2 | 3% |
| Germany | 1 | 2% |
| Kenya | 1 | 2% |
| South Africa | 1 | 2% |
| Switzerland | 1 | 2% |
| Japan | 1 | 2% |
| Other | 8 | 13% |
| Unknown | 36 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 82% |
| Scientists | 9 | 15% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Researcher | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Student > Master | 5 | 7% |
| Student > Postgraduate | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 20% |
| Computer Science | 12 | 17% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Engineering | 3 | 4% |
| Mathematics | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 24 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 01 April 2024.
All research outputs
#1,203,214
of 25,611,630 outputs
Outputs from Nature Communications
#18,695
of 57,808 outputs
Outputs of similar age
#33,212
of 455,693 outputs
Outputs of similar age from Nature Communications
#732
of 1,775 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 57,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has gotten more attention than average, scoring higher than 67% 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 455,693 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 92% of its contemporaries.
We're also able to compare this research output to 1,775 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.