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Mendeley readers
Attention Score in Context
| Title |
The mouse pathology ontology, MPATH; structure and applications
|
|---|---|
| Published in |
Journal of Biomedical Semantics, September 2013
|
| DOI | 10.1186/2041-1480-4-18 |
| Pubmed ID | |
| Authors |
Paul N Schofield, John P Sundberg, Beth A Sundberg, Colin McKerlie, Georgios V Gkoutos |
| Abstract |
The capture and use of disease-related anatomic pathology data for both model organism phenotyping and human clinical practice requires a relatively simple nomenclature and coding system that can be integrated into data collection platforms (such as computerized medical record-keeping systems) to enable the pathologist to rapidly screen and accurately record observations. The MPATH ontology was originally constructed in 2,000 by a committee of pathologists for the annotation of rodent histopathology images, but is now widely used for coding and analysis of disease and phenotype data for rodents, humans and zebrafish. |
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 > Master | 5 | 22% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 6 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 22% |
| Computer Science | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Engineering | 2 | 9% |
| Neuroscience | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 6 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 February 2020.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#155
of 368 outputs
Outputs of similar age
#71,903
of 210,206 outputs
Outputs of similar age from Journal of Biomedical Semantics
#4
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 52% 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 210,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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 69% of its contemporaries.