You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative measurement of alterations in DNA damage repair (DDR) pathways using single cell network profiling (SCNP)
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2014
|
| DOI | 10.1186/1479-5876-12-184 |
| Pubmed ID | |
| Authors |
David B Rosen, Ling Y Leung, Brent Louie, James A Cordeiro, Andrew Conroy, Iuliana Shapira, Scott Z Fields, Alessandra Cesano, Rachael E Hawtin |
| Abstract |
Homologous recombination repair (HRR) pathway deficiencies have significant implications for cancer predisposition and treatment strategies. Improved quantitative methods for functionally characterizing these deficiencies are required to accurately identify patients at risk of developing cancer and to identify mechanisms of drug resistance or sensitivity. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 56 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 29% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Doctoral Student | 4 | 7% |
| Professor | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 26% |
| Agricultural and Biological Sciences | 13 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 March 2016.
All research outputs
#6,940,770
of 22,757,541 outputs
Outputs from Journal of Translational Medicine
#1,085
of 3,979 outputs
Outputs of similar age
#66,554
of 227,908 outputs
Outputs of similar age from Journal of Translational Medicine
#15
of 63 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 71% 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 227,908 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 63 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 73% of its contemporaries.