You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
STOP using just GO: a multi-ontology hypothesis generation tool for high throughput experimentation
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-53 |
| Pubmed ID | |
| Authors |
Tobias Wittkop, Emily TerAvest, Uday S Evani, K Mathew Fleisch, Ari E Berman, Corey Powell, Nigam H Shah, Sean D Mooney |
| Abstract |
Gene Ontology (GO) enrichment analysis remains one of the most common methods for hypothesis generation from high throughput datasets. However, we believe that researchers strive to test other hypotheses that fall outside of GO. Here, we developed and evaluated a tool for hypothesis generation from gene or protein lists using ontological concepts present in manually curated text that describes those genes and proteins. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 33% |
| Germany | 2 | 11% |
| Mexico | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 12% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Netherlands | 1 | 1% |
| Argentina | 1 | 1% |
| Canada | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 66 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 33% |
| Student > Ph. D. Student | 18 | 21% |
| Professor > Associate Professor | 10 | 12% |
| Student > Master | 10 | 12% |
| Other | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 42% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Computer Science | 10 | 12% |
| Engineering | 6 | 7% |
| Medicine and Dentistry | 5 | 6% |
| Other | 7 | 8% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 10 June 2013.
All research outputs
#2,592,006
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#782
of 7,454 outputs
Outputs of similar age
#27,860
of 293,167 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 140 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 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 89% 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 293,167 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 90% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.