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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pinstripe: a suite of programs for integrating transcriptomic and proteomic datasets identifies novel proteins and improves differentiation of protein-coding and non-coding genes
|
|---|---|
| Published in |
Bioinformatics, October 2012
|
| DOI | 10.1093/bioinformatics/bts582 |
| Pubmed ID | |
| Authors |
Dennis K. Gascoigne, Seth W. Cheetham, Pierre B. Cattenoz, Michael B. Clark, Paulo P. Amaral, Ryan J. Taft, Dagmar Wilhelm, Marcel E. Dinger, John S. Mattick |
| Abstract |
Comparing transcriptomic data with proteomic data to identify protein-coding sequences is a long-standing challenge in molecular biology, one that is exacerbated by the increasing size of high-throughput datasets. To address this challenge, and thereby to improve the quality of genome annotation and understanding of genome biology, we have developed an integrated suite of programs, called Pinstripe. We demonstrate its application, utility and discovery power using transcriptomic and proteomic data from publicly available datasets. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Peru | 1 | 17% |
| France | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Australia | 2 | 1% |
| Japan | 2 | 1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 125 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 28% |
| Student > Ph. D. Student | 25 | 18% |
| Student > Master | 24 | 17% |
| Professor | 9 | 7% |
| Other | 9 | 7% |
| Other | 22 | 16% |
| Unknown | 11 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 39% |
| Biochemistry, Genetics and Molecular Biology | 51 | 37% |
| Computer Science | 7 | 5% |
| Medicine and Dentistry | 3 | 2% |
| Neuroscience | 2 | 1% |
| Other | 8 | 6% |
| Unknown | 13 | 9% |
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 20 February 2024.
All research outputs
#5,433,859
of 25,383,344 outputs
Outputs from Bioinformatics
#4,660
of 12,590 outputs
Outputs of similar age
#39,639
of 191,661 outputs
Outputs of similar age from Bioinformatics
#69
of 197 outputs
Altmetric has tracked 25,383,344 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 12,590 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 60% 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 191,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 197 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.