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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Of text and gene – using text mining methods to uncover hidden knowledge in toxicogenomics
|
|---|---|
| Published in |
BMC Systems Biology, August 2014
|
| DOI | 10.1186/s12918-014-0093-3 |
| Pubmed ID | |
| Authors |
Mikyung Lee, Zhichao Liu, Reagan Kelly, Weida Tong |
| Abstract |
Toxicogenomics studies often profile gene expression from assays involving multiple doses and time points. The dose- and time-dependent pattern is of great importance to assess toxicity but computational approaches are lacking to effectively utilize this characteristic in toxicity assessment. Topic modeling is a text mining approach, but may be used analogously in toxicogenomics due to the similar data structures between text and gene dysregulation. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Master | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Professor | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 26% |
| Agricultural and Biological Sciences | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 12 | 29% |
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 14 August 2014.
All research outputs
#15,303,896
of 22,760,687 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#133,642
of 231,138 outputs
Outputs of similar age from BMC Systems Biology
#13
of 25 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 231,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.