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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating RNA-quality using GeneChip microarrays
|
|---|---|
| Published in |
BMC Genomics, May 2012
|
| DOI | 10.1186/1471-2164-13-186 |
| Pubmed ID | |
| Authors |
Mario Fasold, Hans Binder |
| Abstract |
Microarrays are a powerful tool for transcriptome analysis. Best results are obtained using high-quality RNA samples for preparation and hybridization. Issues with RNA integrity can lead to low data quality and failure of the microarray experiment. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Denmark | 1 | 4% |
| Italy | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 23 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 30% |
| Student > Bachelor | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Postgraduate | 3 | 11% |
| Student > Master | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 41% |
| Computer Science | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Environmental Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 4 | 15% |
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 May 2012.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#160,518
of 176,568 outputs
Outputs of similar age from BMC Genomics
#111
of 123 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 176,568 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.