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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide CNV analysis replicates the association between GSTM1 deletion and bladder cancer: a support for using continuous measurement from SNP-array data
|
|---|---|
| Published in |
BMC Genomics, July 2012
|
| DOI | 10.1186/1471-2164-13-326 |
| Pubmed ID | |
| Authors |
Gaëlle Marenne, Francisco X Real, Nathaniel Rothman, Benjamin Rodríguez-Santiago, Luis Pérez-Jurado, Manolis Kogevinas, Montse García-Closas, Debra T Silverman, Stephen J Chanock, Emmanuelle Génin, Núria Malats |
| Abstract |
Structural variations such as copy number variants (CNV) influence the expression of different phenotypic traits. Algorithms to identify CNVs through SNP-array platforms are available. The ability to evaluate well-characterized CNVs such as GSTM1 (1p13.3) deletion provides an important opportunity to assess their performance. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Australia | 1 | 33% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 3% |
| Ireland | 1 | 3% |
| Sweden | 1 | 3% |
| Israel | 1 | 3% |
| Spain | 1 | 3% |
| Unknown | 34 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 33% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 41% |
| Medicine and Dentistry | 10 | 26% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 3 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 July 2012.
All research outputs
#13,364,385
of 22,671,366 outputs
Outputs from BMC Genomics
#4,973
of 10,614 outputs
Outputs of similar age
#90,401
of 163,875 outputs
Outputs of similar age from BMC Genomics
#51
of 118 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 163,875 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 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 55% of its contemporaries.