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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Atlas – a data warehouse for integrative bioinformatics
|
|---|---|
| Published in |
BMC Bioinformatics, February 2005
|
| DOI | 10.1186/1471-2105-6-34 |
| Pubmed ID | |
| Authors |
Sohrab P Shah, Yong Huang, Tao Xu, Macaire MS Yuen, John Ling, BF Francis Ouellette |
| Abstract |
We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional annotations of genes, and biological ontologies. The goal of the system is to provide data, as well as a software infrastructure for bioinformatics research and development. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| Germany | 4 | 2% |
| Brazil | 3 | 2% |
| United Kingdom | 3 | 2% |
| France | 2 | 1% |
| Australia | 2 | 1% |
| Italy | 2 | 1% |
| Indonesia | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 9 | 5% |
| Unknown | 157 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 71 | 37% |
| Student > Ph. D. Student | 32 | 17% |
| Student > Master | 16 | 8% |
| Other | 14 | 7% |
| Professor > Associate Professor | 10 | 5% |
| Other | 34 | 18% |
| Unknown | 14 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 39% |
| Computer Science | 48 | 25% |
| Biochemistry, Genetics and Molecular Biology | 17 | 9% |
| Medicine and Dentistry | 10 | 5% |
| Chemistry | 6 | 3% |
| Other | 21 | 11% |
| Unknown | 14 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 February 2015.
All research outputs
#7,304,256
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#2,641
of 7,672 outputs
Outputs of similar age
#22,543
of 72,222 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 2 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 64% 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 72,222 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 67% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.