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Mendeley readers
Attention Score in Context
| Title |
Phenex: Ontological Annotation of Phenotypic Diversity
|
|---|---|
| Published in |
PLOS ONE, May 2010
|
| DOI | 10.1371/journal.pone.0010500 |
| Pubmed ID | |
| Authors |
James P. Balhoff, Wasila M. Dahdul, Cartik R. Kothari, Hilmar Lapp, John G. Lundberg, Paula Mabee, Peter E. Midford, Monte Westerfield, Todd J. Vision |
| Abstract |
Phenotypic differences among species have long been systematically itemized and described by biologists in the process of investigating phylogenetic relationships and trait evolution. Traditionally, these descriptions have been expressed in natural language within the context of individual journal publications or monographs. As such, this rich store of phenotype data has been largely unavailable for statistical and computational comparisons across studies or integration with other biological knowledge. |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 12% |
| Brazil | 4 | 3% |
| Germany | 3 | 2% |
| United Kingdom | 2 | 1% |
| Sweden | 2 | 1% |
| Indonesia | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 100 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 31% |
| Student > Ph. D. Student | 19 | 14% |
| Professor > Associate Professor | 12 | 9% |
| Professor | 12 | 9% |
| Other | 10 | 7% |
| Other | 29 | 21% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 55% |
| Computer Science | 14 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Environmental Science | 6 | 4% |
| Engineering | 4 | 3% |
| Other | 19 | 14% |
| Unknown | 12 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 August 2014.
All research outputs
#4,409,205
of 22,761,738 outputs
Outputs from PLOS ONE
#60,752
of 194,198 outputs
Outputs of similar age
#19,013
of 95,073 outputs
Outputs of similar age from PLOS ONE
#207
of 696 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 68% 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 95,073 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 80% of its contemporaries.
We're also able to compare this research output to 696 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 70% of its contemporaries.