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Mendeley readers
Attention Score in Context
| Title |
Normalization of low-density microarray using external spike-in controls: analysis of macrophage cell lines expression profile
|
|---|---|
| Published in |
BMC Genomics, January 2007
|
| DOI | 10.1186/1471-2164-8-17 |
| Pubmed ID | |
| Authors |
Paolo Fardin, Stefano Moretti, Barbara Biasotti, Annamaria Ricciardi, Stefano Bonassi, Luigi Varesio |
| Abstract |
The normalization of DNA microarrays allows comparison among samples by adjusting for individual hybridization intensities. The approaches most commonly used are global normalization methods that are based on the expression of all genes on the slide and on the modulation of a small proportion of genes. Alternative approaches must be developed for microarrays where the proportion of modulated genes and their distribution are unknown and they may be biased towards up- or down-modulated trends. |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 2 | 4% |
| Korea, Republic of | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 43 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 39% |
| Student > Ph. D. Student | 12 | 24% |
| Professor > Associate Professor | 6 | 12% |
| Student > Doctoral Student | 3 | 6% |
| Student > Master | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 49% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Medicine and Dentistry | 5 | 10% |
| Computer Science | 3 | 6% |
| Chemistry | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 21 July 2020.
All research outputs
#3,272,132
of 22,787,797 outputs
Outputs from BMC Genomics
#1,279
of 10,647 outputs
Outputs of similar age
#13,097
of 159,859 outputs
Outputs of similar age from BMC Genomics
#7
of 83 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 159,859 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.