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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BBCA: Improving the scalability of *BEAST using random binning
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-s6-s11 |
| Pubmed ID | |
| Authors |
Théo Zimmermann, Siavash Mirarab, Tandy Warnow |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 2% |
| Spain | 1 | 2% |
| Portugal | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 39 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 30% |
| Student > Master | 9 | 21% |
| Researcher | 8 | 19% |
| Student > Bachelor | 3 | 7% |
| Professor | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 63% |
| Computer Science | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Unknown | 5 | 12% |
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 07 March 2021.
All research outputs
#7,502,830
of 23,577,654 outputs
Outputs from BMC Genomics
#3,524
of 10,787 outputs
Outputs of similar age
#81,582
of 260,136 outputs
Outputs of similar age from BMC Genomics
#63
of 207 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 260,136 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 207 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 68% of its contemporaries.