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Mendeley readers
Attention Score in Context
| Title |
MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data
|
|---|---|
| Published in |
Genome Biology, January 2003
|
| DOI | 10.1186/gb-2003-4-1-r7 |
| Pubmed ID | |
| Authors |
Scott W Doniger, Nathan Salomonis, Kam D Dahlquist, Karen Vranizan, Steven C Lawlor, Bruce R Conklin |
| Abstract |
MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology by integrating the annotations of the Gene Ontology (GO) Project with the free software package GenMAPP http://www.GenMAPP.org. The results are displayed in a searchable browser, allowing the user to rapidly identify GO terms with over-represented numbers of gene-expression changes. Clicking on GO terms generates GenMAPP graphical files where gene relationships can be explored, annotated, and files can be freely exchanged. |
Mendeley readers
The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| United Kingdom | 4 | 2% |
| Spain | 3 | 1% |
| Netherlands | 2 | <1% |
| France | 2 | <1% |
| India | 2 | <1% |
| Switzerland | 2 | <1% |
| Canada | 2 | <1% |
| Italy | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 229 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 69 | 26% |
| Student > Ph. D. Student | 55 | 21% |
| Professor > Associate Professor | 28 | 11% |
| Professor | 18 | 7% |
| Student > Master | 18 | 7% |
| Other | 54 | 21% |
| Unknown | 21 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 117 | 44% |
| Computer Science | 33 | 13% |
| Biochemistry, Genetics and Molecular Biology | 30 | 11% |
| Medicine and Dentistry | 17 | 6% |
| Neuroscience | 6 | 2% |
| Other | 31 | 12% |
| Unknown | 29 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 09 February 2021.
All research outputs
#3,026,256
of 25,374,647 outputs
Outputs from Genome Biology
#2,270
of 4,467 outputs
Outputs of similar age
#7,619
of 136,586 outputs
Outputs of similar age from Genome Biology
#3
of 23 outputs
Altmetric has tracked 25,374,647 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 48th percentile – i.e., 48% 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 136,586 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 94% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.