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Mendeley readers
Attention Score in Context
| Title |
Transcript-based redefinition of grouped oligonucleotide probe sets using AceView: High-resolution annotation for microarrays
|
|---|---|
| Published in |
BMC Bioinformatics, March 2007
|
| DOI | 10.1186/1471-2105-8-108 |
| Pubmed ID | |
| Authors |
Jun Lu, Joseph C Lee, Marc L Salit, Margaret C Cam |
| Abstract |
Extracting biological information from high-density Affymetrix arrays is a multi-step process that begins with the accurate annotation of microarray probes. Shortfalls in the original Affymetrix probe annotation have been described; however, few studies have provided rigorous solutions for routine data analysis. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Italy | 1 | 3% |
| Belgium | 1 | 3% |
| Unknown | 36 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 33% |
| Student > Ph. D. Student | 9 | 23% |
| Professor > Associate Professor | 4 | 10% |
| Professor | 3 | 8% |
| Other | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 54% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 2021.
All research outputs
#5,500,307
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#1,994
of 7,234 outputs
Outputs of similar age
#21,941
of 76,653 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 36 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 76,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.