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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nose to tail, roots to shoots: spatial descriptors for phenotypic diversity in the Biological Spatial Ontology
|
|---|---|
| Published in |
Journal of Biomedical Semantics, August 2014
|
| DOI | 10.1186/2041-1480-5-34 |
| Pubmed ID | |
| Authors |
Wasila M Dahdul, Hong Cui, Paula M Mabee, Christopher J Mungall, David Osumi-Sutherland, Ramona L Walls, Melissa A Haendel |
| Abstract |
Spatial terminology is used in anatomy to indicate precise, relative positions of structures in an organism. While these terms are often standardized within specific fields of biology, they can differ dramatically across taxa. Such differences in usage can impair our ability to unambiguously refer to anatomical position when comparing anatomy or phenotypes across species. We developed the Biological Spatial Ontology (BSPO) to standardize the description of spatial and topological relationships across taxa to enable the discovery of comparable phenotypes. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Sweden | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Master | 5 | 9% |
| Professor | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Other | 13 | 23% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 33% |
| Computer Science | 10 | 18% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Earth and Planetary Sciences | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 August 2019.
All research outputs
#8,187,031
of 25,374,917 outputs
Outputs from Journal of Biomedical Semantics
#150
of 368 outputs
Outputs of similar age
#75,438
of 242,843 outputs
Outputs of similar age from Journal of Biomedical Semantics
#10
of 14 outputs
Altmetric has tracked 25,374,917 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 368 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 59% 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 242,843 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 68% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.