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Mendeley readers
Attention Score in Context
| Title |
GATExplorer: Genomic and Transcriptomic Explorer; mapping expression probes to gene loci, transcripts, exons and ncRNAs
|
|---|---|
| Published in |
BMC Bioinformatics, April 2010
|
| DOI | 10.1186/1471-2105-11-221 |
| Pubmed ID | |
| Authors |
Alberto Risueño, Celia Fontanillo, Marcel E Dinger, Javier De Las Rivas |
| Abstract |
Genome-wide expression studies have developed exponentially in recent years as a result of extensive use of microarray technology. However, expression signals are typically calculated using the assignment of "probesets" to genes, without addressing the problem of "gene" definition or proper consideration of the location of the measuring probes in the context of the currently known genomes and transcriptomes. Moreover, as our knowledge of metazoan genomes improves, the number of both protein-coding and noncoding genes, as well as their associated isoforms, continues to increase. Consequently, there is a need for new databases that combine genomic and transcriptomic information and provide updated mapping of expression probes to current genomic annotations. |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Italy | 1 | 1% |
| Ukraine | 1 | 1% |
| Canada | 1 | 1% |
| Denmark | 1 | 1% |
| Russia | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 81 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 28% |
| Student > Ph. D. Student | 23 | 26% |
| Professor > Associate Professor | 9 | 10% |
| Professor | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 13 | 14% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 43% |
| Biochemistry, Genetics and Molecular Biology | 12 | 13% |
| Medicine and Dentistry | 9 | 10% |
| Computer Science | 8 | 9% |
| Engineering | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 9 | 10% |
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 25 April 2014.
All research outputs
#15,299,919
of 22,754,104 outputs
Outputs from BMC Bioinformatics
#5,370
of 7,269 outputs
Outputs of similar age
#77,685
of 95,435 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 69 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,269 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 95,435 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 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.