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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Taxallnomy: an extension of NCBI Taxonomy that produces a hierarchically complete taxonomic tree
|
|---|---|
| Published in |
BMC Bioinformatics, July 2021
|
| DOI | 10.1186/s12859-021-04304-3 |
| Pubmed ID | |
| Authors |
Tetsu Sakamoto, J. Miguel Ortega |
X Demographics
The data shown below were collected from the profiles of 43 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 | 9 | 21% |
| United Kingdom | 4 | 9% |
| Canada | 3 | 7% |
| Sweden | 2 | 5% |
| Switzerland | 2 | 5% |
| Brazil | 1 | 2% |
| Luxembourg | 1 | 2% |
| Italy | 1 | 2% |
| India | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 14 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 53% |
| Members of the public | 19 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Researcher | 4 | 15% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 3 | 12% |
| Professor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 27% |
| Agricultural and Biological Sciences | 5 | 19% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 December 2021.
All research outputs
#1,824,246
of 24,903,209 outputs
Outputs from BMC Bioinformatics
#360
of 7,606 outputs
Outputs of similar age
#42,767
of 426,958 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 111 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,606 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 426,958 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 89% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.