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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Constrained incremental tree building: new absolute fast converging phylogeny estimation methods with improved scalability and accuracy
|
|---|---|
| Published in |
Algorithms for Molecular Biology, February 2019
|
| DOI | 10.1186/s13015-019-0136-9 |
| Pubmed ID | |
| Authors |
Qiuyi Zhang, Satish Rao, Tandy Warnow |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 18% |
| United Kingdom | 2 | 18% |
| United States | 2 | 18% |
| Saudi Arabia | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 38% |
| Other | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 38% |
| Agricultural and Biological Sciences | 2 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Mathematics | 1 | 13% |
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 08 March 2019.
All research outputs
#2,481,269
of 23,128,387 outputs
Outputs from Algorithms for Molecular Biology
#16
of 264 outputs
Outputs of similar age
#61,614
of 437,541 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 8 outputs
Altmetric has tracked 23,128,387 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 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 93% 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 437,541 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.