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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of affymetrix array and massively parallel signature sequencing for identification of genes involved in prostate cancer progression
|
|---|---|
| Published in |
BMC Cancer, July 2005
|
| DOI | 10.1186/1471-2407-5-86 |
| Pubmed ID | |
| Authors |
Asa J Oudes, Jared C Roach, Laura S Walashek, Lillian J Eichner, Lawrence D True, Robert L Vessella, Alvin Y Liu |
| Abstract |
Affymetrix GeneChip Array and Massively Parallel Signature Sequencing (MPSS) are two high throughput methodologies used to profile transcriptomes. Each method has certain strengths and weaknesses; however, no comparison has been made between the data derived from Affymetrix arrays and MPSS. In this study, two lineage-related prostate cancer cell lines, LNCaP and C4-2, were used for transcriptome analysis with the aim of identifying genes associated with prostate cancer progression. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| France | 1 | 2% |
| Unknown | 52 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 26% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Postgraduate | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Student > Bachelor | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 39% |
| Medicine and Dentistry | 8 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Psychology | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 11 | 20% |
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 23 July 2012.
All research outputs
#20,161,674
of 22,671,366 outputs
Outputs from BMC Cancer
#6,478
of 8,243 outputs
Outputs of similar age
#55,522
of 57,197 outputs
Outputs of similar age from BMC Cancer
#16
of 16 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,243 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 57,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.