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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-93 |
| Pubmed ID | |
| Authors |
Liang Li, Brooke L Fridley, Krishna Kalari, Nifang Niu, Gregory Jenkins, Anthony Batzler, Ryan P Abo, Daniel Schaid, Liewei Wang |
| Abstract |
Two cytidine analogues, gemcitabine and cytosine arabinoside (AraC), are widely used in the treatment of a variety of cancers with a large individual variation in response. To identify potential genetic biomarkers associated with response to these two drugs, we used a human lymphoblastoid cell line (LCL) model system with extensive genomic data, including 1.3 million SNPs and 54,000 basal expression probesets to perform genome-wide association studies (GWAS) with gemcitabine and AraC IC50 values. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Italy | 1 | 5% |
| Unknown | 19 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 29% |
| Researcher | 3 | 14% |
| Student > Postgraduate | 2 | 10% |
| Professor | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 19% |
| Medicine and Dentistry | 3 | 14% |
| Computer Science | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 7 | 33% |
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 08 February 2014.
All research outputs
#17,710,421
of 22,743,666 outputs
Outputs from BMC Genomics
#7,543
of 10,633 outputs
Outputs of similar age
#221,001
of 307,251 outputs
Outputs of similar age from BMC Genomics
#293
of 434 outputs
Altmetric has tracked 22,743,666 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,633 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 307,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 434 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.