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Mendeley readers
Attention Score in Context
| Title |
Application of comparative functional genomics to identify best-fit mouse models to study human cancer
|
|---|---|
| Published in |
Nature Genetics, November 2004
|
| DOI | 10.1038/ng1481 |
| Pubmed ID | |
| Authors |
Ju-Seog Lee, In-Sun Chu, Arsen Mikaelyan, Diego F Calvisi, Jeonghoon Heo, Janardan K Reddy, Snorri S Thorgeirsson |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| France | 2 | 1% |
| Brazil | 2 | 1% |
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| Sweden | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Unknown | 175 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 25% |
| Researcher | 47 | 25% |
| Student > Master | 14 | 7% |
| Professor > Associate Professor | 13 | 7% |
| Other | 9 | 5% |
| Other | 30 | 16% |
| Unknown | 28 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 34% |
| Biochemistry, Genetics and Molecular Biology | 35 | 19% |
| Medicine and Dentistry | 35 | 19% |
| Computer Science | 6 | 3% |
| Mathematics | 3 | 2% |
| Other | 16 | 9% |
| Unknown | 30 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 September 2021.
All research outputs
#4,725,241
of 22,912,409 outputs
Outputs from Nature Genetics
#4,245
of 7,211 outputs
Outputs of similar age
#16,940
of 141,163 outputs
Outputs of similar age from Nature Genetics
#32
of 54 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,211 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.3. This one is in the 32nd percentile – i.e., 32% 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 141,163 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 81% of its contemporaries.
We're also able to compare this research output to 54 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.