| Title |
Applications of the pipeline environment for visual informatics and genomics computations
|
|---|---|
| Published in |
BMC Bioinformatics, July 2011
|
| DOI | 10.1186/1471-2105-12-304 |
| Pubmed ID | |
| Authors |
Ivo D Dinov, Federica Torri, Fabio Macciardi, Petros Petrosyan, Zhizhong Liu, Alen Zamanyan, Paul Eggert, Jonathan Pierce, Alex Genco, James A Knowles, Andrew P Clark, John D Van Horn, Joseph Ames, Carl Kesselman, Arthur W Toga |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Brazil | 1 | 25% |
| Canada | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 7% |
| Brazil | 3 | 3% |
| Spain | 3 | 3% |
| Netherlands | 1 | 1% |
| Sweden | 1 | 1% |
| Mexico | 1 | 1% |
| Germany | 1 | 1% |
| United Kingdom | 1 | 1% |
| China | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 76 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 35% |
| Student > Ph. D. Student | 18 | 19% |
| Student > Bachelor | 9 | 9% |
| Student > Master | 9 | 9% |
| Professor | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 47% |
| Computer Science | 18 | 19% |
| Engineering | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Medicine and Dentistry | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 6 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 July 2023.
All research outputs
#5,841,065
of 23,806,312 outputs
Outputs from BMC Bioinformatics
#2,034
of 7,446 outputs
Outputs of similar age
#32,110
of 121,514 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 85 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,446 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 72% 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 121,514 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 73% of its contemporaries.
We're also able to compare this research output to 85 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.