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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of SLX4/FANCP in non-BRCA1/2-mutated breast cancer families
|
|---|---|
| Published in |
BMC Cancer, March 2012
|
| DOI | 10.1186/1471-2407-12-84 |
| Pubmed ID | |
| Authors |
Juana Fernández-Rodríguez, Francisco Quiles, Ignacio Blanco, Alex Teulé, Lídia Feliubadaló, Jesús del Valle, Mónica Salinas, Àngel Izquierdo, Esther Darder, Detlev Schindler, Gabriel Capellá, Joan Brunet, Conxi Lázaro, Miguel Angel Pujana |
| Abstract |
Genes that, when mutated, cause Fanconi anemia or greatly increase breast cancer risk encode for proteins that converge on a homology-directed DNA damage repair process. Mutations in the SLX4 gene, which encodes for a scaffold protein involved in the repair of interstrand cross-links, have recently been identified in unclassified Fanconi anemia patients. A mutation analysis of SLX4 in German or Byelorussian familial cases of breast cancer without detected mutations in BRCA1 or BRCA2 has been completed, with globally negative results. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 8 | 23% |
| Student > Ph. D. Student | 7 | 20% |
| Researcher | 6 | 17% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 34% |
| Agricultural and Biological Sciences | 11 | 31% |
| Medicine and Dentistry | 4 | 11% |
| Computer Science | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 March 2012.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from BMC Cancer
#4,100
of 8,242 outputs
Outputs of similar age
#100,025
of 156,269 outputs
Outputs of similar age from BMC Cancer
#31
of 60 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,242 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 39th percentile – i.e., 39% 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 156,269 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.