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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visualization and analysis of microarray and gene ontology data with treemaps
|
|---|---|
| Published in |
BMC Bioinformatics, June 2004
|
| DOI | 10.1186/1471-2105-5-84 |
| Pubmed ID | |
| Authors |
Eric H Baehrecke, Niem Dang, Ketan Babaria, Ben Shneiderman |
| Abstract |
The increasing complexity of genomic data presents several challenges for biologists. Limited computer monitor views of data complexity and the dynamic nature of data in the midst of discovery increase the challenge of integrating experimental results with information resources. The use of Gene Ontology enables researchers to summarize results of quantitative analyses in this framework, but the limitations of typical browser presentation restrict data access. |
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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 2 | 3% |
| Colombia | 1 | 1% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Australia | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Slovakia | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 64 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 23% |
| Student > Ph. D. Student | 17 | 22% |
| Student > Master | 13 | 17% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 41% |
| Computer Science | 19 | 24% |
| Engineering | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Design | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 10 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 April 2015.
All research outputs
#3,174,272
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#984
of 7,672 outputs
Outputs of similar age
#5,181
of 60,076 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 87% 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 60,076 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them