An array of genetic mutations associated with human breast cancers has been identified. However, which specific combination of mutations permit normal cells to form breast cancer remains unknown. Elenbaas et al. recently described an experimental system for studying the genetic requirements for the development of breast cancer.
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 07 December 2004.
All research outputs
#9,515,460
of 27,778,980 outputs
Outputs from Trends in Molecular Medicine
#1,233
of 2,025 outputs
Outputs of similar age
#17,294
of 48,726 outputs
Outputs of similar age from Trends in Molecular Medicine
#6
of 14 outputs
Altmetric has tracked 27,778,980 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 23rd percentile – i.e., 23% 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 48,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
