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Mendeley readers
Attention Score in Context
| Title |
A histological ontology of the human cardiovascular system
|
|---|---|
| Published in |
Journal of Biomedical Semantics, October 2017
|
| DOI | 10.1186/s13326-017-0158-5 |
| Pubmed ID | |
| Authors |
Claudia Mazo, Liliana Salazar, Oscar Corcho, Maria Trujillo, Enrique Alegre |
| Abstract |
In this paper, we describe a histological ontology of the human cardiovascular system developed in collaboration among histology experts and computer scientists. The histological ontology is developed following an existing methodology using Conceptual Models (CMs) and validated using OOPS!, expert evaluation with CMs, and how accurately the ontology can answer the Competency Questions (CQ). It is publicly available at http://bioportal.bioontology.org/ontologies/HO and https://w3id.org/def/System . The histological ontology is developed to support complex tasks, such as supporting teaching activities, medical practices, and bio-medical research or having natural language interactions. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Professor | 2 | 9% |
| Other | 2 | 9% |
| Other | 7 | 30% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 57% |
| Engineering | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Medicine and Dentistry | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 3 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 October 2017.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from Journal of Biomedical Semantics
#238
of 364 outputs
Outputs of similar age
#202,147
of 322,939 outputs
Outputs of similar age from Journal of Biomedical Semantics
#9
of 20 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 322,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.