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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression
|
|---|---|
| Published in |
BMC Medical Genomics, May 2011
|
| DOI | 10.1186/1755-8794-4-37 |
| Pubmed ID | |
| Authors |
Eva Alloza, Fátima Al-Shahrour, Juan C Cigudosa, Joaquín Dopazo |
| Abstract |
Recent observations point towards the existence of a large number of neighborhoods composed of functionally-related gene modules that lie together in the genome. This local component in the distribution of the functionality across chromosomes is probably affecting the own chromosomal architecture by limiting the possibilities in which genes can be arranged and distributed across the genome. As a direct consequence of this fact it is therefore presumable that diseases such as cancer, harboring DNA copy number alterations (CNAs), will have a symptomatology strongly dependent on modules of functionally-related genes rather than on a unique "important" gene. |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 8% |
| Netherlands | 1 | 4% |
| Finland | 1 | 4% |
| United Kingdom | 1 | 4% |
| Spain | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 19 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 31% |
| Student > Ph. D. Student | 6 | 23% |
| Professor > Associate Professor | 3 | 12% |
| Student > Master | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 38% |
| Medicine and Dentistry | 7 | 27% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Computer Science | 3 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 8% |
Attention Score in Context
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 08 August 2012.
All research outputs
#13,266,976
of 22,673,450 outputs
Outputs from BMC Medical Genomics
#490
of 1,211 outputs
Outputs of similar age
#78,936
of 110,181 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 10 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 59% 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 110,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.