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Mendeley readers
Attention Score in Context
| Title |
Translational disease interpretation with molecular networks
|
|---|---|
| Published in |
Genome Biology, June 2009
|
| DOI | 10.1186/gb-2009-10-6-221 |
| Pubmed ID | |
| Authors |
Anaïs Baudot, Gonzalo Gómez-López, Alfonso Valencia |
| Abstract |
Molecular networks are being used to reconcile genotypes and phenotypes by integrating medical information. In this context, networks will be instrumental for the interpretation of disease at the personalized medicine level. |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 8% |
| United States | 3 | 5% |
| France | 3 | 5% |
| Spain | 2 | 3% |
| Brazil | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Belgium | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 44 | 70% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 32% |
| Researcher | 19 | 30% |
| Other | 6 | 10% |
| Professor > Associate Professor | 6 | 10% |
| Professor | 5 | 8% |
| Other | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 59% |
| Medicine and Dentistry | 8 | 13% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Computer Science | 7 | 11% |
| Mathematics | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 1 | 2% |
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 02 April 2015.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#42,348
of 122,968 outputs
Outputs of similar age from Genome Biology
#14
of 24 outputs
Altmetric has tracked 25,374,647 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 122,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.