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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CooVar: Co-occurring variant analyzer
|
|---|---|
| Published in |
BMC Research Notes, November 2012
|
| DOI | 10.1186/1756-0500-5-615 |
| Pubmed ID | |
| Authors |
Ismael A Vergara, Christian Frech, Nansheng Chen |
| Abstract |
Evaluating the impact of genomic variations (GV) on protein-coding transcripts is an important step in identifying variants of functional significance. Currently available programs for variant annotation depend on external databases or annotate multiple variants affecting the same transcript independently, which limits program use to organisms available in these databases or results in potentially incorrect or incomplete annotations. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 33% |
| United States | 1 | 33% |
| Australia | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 37% |
| Student > Ph. D. Student | 13 | 32% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 49% |
| Biochemistry, Genetics and Molecular Biology | 10 | 24% |
| Computer Science | 4 | 10% |
| Medicine and Dentistry | 2 | 5% |
| Social Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 4 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 November 2012.
All research outputs
#15,564,886
of 24,666,614 outputs
Outputs from BMC Research Notes
#2,103
of 4,442 outputs
Outputs of similar age
#114,457
of 191,037 outputs
Outputs of similar age from BMC Research Notes
#44
of 78 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 49th percentile – i.e., 49% 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 191,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.