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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A searchable cross-platform gene expression database reveals connections between drug treatments and disease
|
|---|---|
| Published in |
BMC Genomics, January 2012
|
| DOI | 10.1186/1471-2164-13-12 |
| Pubmed ID | |
| Authors |
Gareth Williams |
| Abstract |
Transcriptional data covering multiple platforms and species is collected and processed into a searchable platform independent expression database (SPIED). SPIED consists of over 100,000 expression fold profiles defined independently of control/treatment assignment and mapped to non-redundant gene lists. The database is thus searchable with query profiles defined over genes alone. The motivation behind SPIED is that transcriptional profiles can be quantitatively compared and ranked and thus serve as effective surrogates for comparing the underlying biological states across multiple experiments. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 2 | 3% |
| South Africa | 1 | 1% |
| France | 1 | 1% |
| Spain | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 67 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 30% |
| Student > Master | 14 | 18% |
| Student > Ph. D. Student | 9 | 12% |
| Other | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 8 | 11% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 33% |
| Medicine and Dentistry | 11 | 14% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Computer Science | 5 | 7% |
| Neuroscience | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 11 | 14% |
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 13 January 2012.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#202,192
of 248,783 outputs
Outputs of similar age from BMC Genomics
#103
of 131 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 248,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.