Hong Seok Shim, Jonathan Iaconelli, Xiaoying Shang, Jiexi Li, Zheng D Lan, Shan Jiang, Kayla Nutsch, Brittney A Beyer, Luke L Lairson, Adam T Boutin, Michael J Bollong, Peter G Schultz, Ronald A DePinho
Pharmacology, Toxicology and Pharmaceutical Science
2
4%
Computer Science
2
4%
Other
5
9%
Unknown
18
34%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 540. 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 October 2024.
All research outputs
#49,305
of 26,798,288 outputs
Outputs from Cell
#347
of 17,647 outputs
Outputs of similar age
#722
of 323,254 outputs
Outputs of similar age from Cell
#5
of 155 outputs
Altmetric has tracked 26,798,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,647 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.2. This one has done particularly well, scoring higher than 98% 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 323,254 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.
