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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Selecting informative subsets of sparse supermatrices increases the chance to find correct trees
|
|---|---|
| Published in |
BMC Bioinformatics, December 2013
|
| DOI | 10.1186/1471-2105-14-348 |
| Pubmed ID | |
| Authors |
Bernhard Misof, Benjamin Meyer, Björn Marcus von Reumont, Patrick Kück, Katharina Misof, Karen Meusemann |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 74 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 32% |
| Researcher | 17 | 22% |
| Student > Master | 11 | 14% |
| Student > Bachelor | 5 | 6% |
| Professor | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 52% |
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Computer Science | 4 | 5% |
| Earth and Planetary Sciences | 2 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 13 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 19 September 2023.
All research outputs
#4,835,090
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,709
of 7,763 outputs
Outputs of similar age
#52,608
of 326,187 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 106 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 77% 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 326,187 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 83% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.