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Mendeley readers
Attention Score in Context
| Title |
Comparative analysis and integrative classification of NCI60 cell lines and primary tumors using gene expression profiling data
|
|---|---|
| Published in |
BMC Genomics, July 2006
|
| DOI | 10.1186/1471-2164-7-166 |
| Pubmed ID | |
| Authors |
Huixia Wang, Shuguang Huang, Jianyong Shou, Eric W Su, Jude E Onyia, Birong Liao, Shuyu Li |
| Abstract |
NCI60 cell lines are derived from cancers of 9 tissue origins and have been invaluable in vitro models for cancer research and anti-cancer drug screen. Although extensive studies have been carried out to assess the molecular features of NCI60 cell lines related to cancer and their sensitivities to more than 100,000 chemical compounds, it remains unclear if and how well these cell lines represent or model their tumor tissues of origin. Identification and confirmation of correct origins of NCI60 cell lines are critical to their usage as model systems and to translate in vitro studies into clinical potentials. Here we report a direct comparison between NCI60 cell lines and primary tumors by analyzing global gene expression profiles. |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Belgium | 1 | 1% |
| Unknown | 91 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 38% |
| Student > Ph. D. Student | 12 | 13% |
| Other | 9 | 9% |
| Professor > Associate Professor | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 35% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Medicine and Dentistry | 10 | 10% |
| Engineering | 7 | 7% |
| Computer Science | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 16 | 17% |
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 10 October 2023.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from BMC Genomics
#3,596
of 10,646 outputs
Outputs of similar age
#22,668
of 64,549 outputs
Outputs of similar age from BMC Genomics
#13
of 36 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,646 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 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 64,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.