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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis
|
|---|---|
| Published in |
BMC Bioinformatics, November 2007
|
| DOI | 10.1186/1471-2105-8-426 |
| Pubmed ID | |
| Authors |
Brad T Sherman, Da Wei Huang, Qina Tan, Yongjian Guo, Stephan Bour, David Liu, Robert Stephens, Michael W Baseler, H Clifford Lane, Richard A Lempicki |
| Abstract |
Due to the complex and distributed nature of biological research, our current biological knowledge is spread over many redundant annotation databases maintained by many independent groups. Analysts usually need to visit many of these bioinformatics databases in order to integrate comprehensive annotation information for their genes, which becomes one of the bottlenecks, particularly for the analytic task associated with a large gene list. Thus, a highly centralized and ready-to-use gene-annotation knowledgebase is in demand for high throughput gene functional analysis. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 338 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 3% |
| Germany | 3 | <1% |
| France | 2 | <1% |
| Switzerland | 2 | <1% |
| Japan | 2 | <1% |
| Norway | 1 | <1% |
| Italy | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Other | 7 | 2% |
| Unknown | 308 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 96 | 28% |
| Student > Ph. D. Student | 82 | 24% |
| Student > Master | 25 | 7% |
| Professor > Associate Professor | 24 | 7% |
| Student > Doctoral Student | 20 | 6% |
| Other | 50 | 15% |
| Unknown | 41 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 135 | 40% |
| Biochemistry, Genetics and Molecular Biology | 80 | 24% |
| Medicine and Dentistry | 23 | 7% |
| Computer Science | 18 | 5% |
| Immunology and Microbiology | 5 | 1% |
| Other | 27 | 8% |
| Unknown | 50 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 May 2016.
All research outputs
#6,280,124
of 22,789,076 outputs
Outputs from BMC Bioinformatics
#2,395
of 7,279 outputs
Outputs of similar age
#22,671
of 76,689 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 47 outputs
Altmetric has tracked 22,789,076 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,279 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 66% 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 76,689 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 70% of its contemporaries.
We're also able to compare this research output to 47 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 65% of its contemporaries.