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Mendeley readers
Attention Score in Context
| Title |
Estimation and correction of non-specific binding in a large-scale spike-in experiment
|
|---|---|
| Published in |
Genome Biology, June 2007
|
| DOI | 10.1186/gb-2007-8-6-r126 |
| Pubmed ID | |
| Authors |
Eugene F Schuster, Eric Blanc, Linda Partridge, Janet M Thornton |
| Abstract |
The availability of a recently published large-scale spike-in microarray dataset helps us to understand the influence of probe sequence in non-specific binding (NSB) signal and enables the benchmarking of several models for the estimation of NSB. In a typical microarray experiment using Affymetrix whole genome chips, 30% to 50% of the probes will apparently have absent target transcripts and show only NSB signal, and these probes can have significant repercussions for normalization and the statistical analysis of the data if NSB is not estimated correctly. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Germany | 1 | 3% |
| Belgium | 1 | 3% |
| Spain | 1 | 3% |
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 24 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 29% |
| Student > Ph. D. Student | 7 | 23% |
| Professor > Associate Professor | 3 | 10% |
| Other | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 65% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Computer Science | 2 | 6% |
| Linguistics | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 2 | 6% |
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 08 February 2011.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#28,449
of 78,511 outputs
Outputs of similar age from Genome Biology
#29
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 78,511 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 49 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.