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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes
|
|---|---|
| Published in |
Journal of Biomedical Semantics, November 2013
|
| DOI | 10.1186/2041-1480-4-34 |
| Pubmed ID | |
| Authors |
Peter E Midford, Thomas Alex Dececchi, James P Balhoff, Wasila M Dahdul, Nizar Ibrahim, Hilmar Lapp, John G Lundberg, Paula M Mabee, Paul C Sereno, Monte Westerfield, Todd J Vision, David C Blackburn |
| Abstract |
A hierarchical taxonomy of organisms is a prerequisite for semantic integration of biodiversity data. Ideally, there would be a single, expansive, authoritative taxonomy that includes extinct and extant taxa, information on synonyms and common names, and monophyletic supraspecific taxa that reflect our current understanding of phylogenetic relationships. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Switzerland | 1 | 14% |
| France | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 15% |
| Mexico | 1 | 2% |
| Iceland | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 37 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 21% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 5 | 11% |
| Other | 5 | 11% |
| Student > Master | 4 | 9% |
| Other | 10 | 21% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 64% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Computer Science | 3 | 6% |
| Environmental Science | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 June 2014.
All research outputs
#6,052,230
of 22,733,113 outputs
Outputs from Journal of Biomedical Semantics
#109
of 364 outputs
Outputs of similar age
#70,366
of 301,851 outputs
Outputs of similar age from Journal of Biomedical Semantics
#13
of 29 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 69% 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 301,851 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 76% of its contemporaries.
We're also able to compare this research output to 29 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 55% of its contemporaries.