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Mendeley readers
Attention Score in Context
| Title |
Storing, linking, and mining microarray databases using SRS
|
|---|---|
| Published in |
BMC Bioinformatics, July 2005
|
| DOI | 10.1186/1471-2105-6-192 |
| Pubmed ID | |
| Authors |
Antoine Veldhoven, Don de Lange, Marcel Smid, Victor de Jager, Jan A Kors, Guido Jenster |
| Abstract |
SRS (Sequence Retrieval System) has proven to be a valuable platform for storing, linking, and querying biological databases. Due to the availability of a broad range of different scientific databases in SRS, it has become a useful platform to incorporate and mine microarray data to facilitate the analyses of biological questions and non-hypothesis driven quests. Here we report various solutions and tools for integrating and mining annotated expression data in SRS. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Luxembourg | 1 | 5% |
| Unknown | 20 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Other | 3 | 14% |
| Student > Doctoral Student | 2 | 9% |
| Professor | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 5 | 23% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 36% |
| Medicine and Dentistry | 4 | 18% |
| Computer Science | 2 | 9% |
| Engineering | 2 | 9% |
| Neuroscience | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
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 07 October 2013.
All research outputs
#7,447,868
of 22,769,322 outputs
Outputs from BMC Bioinformatics
#3,020
of 7,273 outputs
Outputs of similar age
#20,125
of 57,288 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 22 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 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 50% 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 57,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.