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.
Mendeley readers
Attention Score in Context
| Title |
An integrated computational pipeline and database to support whole-genome sequence annotation
|
|---|---|
| Published in |
Genome Biology, December 2002
|
| DOI | 10.1186/gb-2002-3-12-research0081 |
| Pubmed ID | |
| Authors |
CJ Mungall, S Misra, BP Berman, J Carlson, E Frise, N Harris, B Marshall, S Shu, JS Kaminker, SE Prochnik, CD Smith, E Smith, JL Tupy, C Wiel, GM Rubin, SE Lewis |
| Abstract |
We describe here our experience in annotating the Drosophila melanogaster genome sequence, in the course of which we developed several new open-source software tools and a database schema to support large-scale genome annotation. We have developed these into an integrated and reusable software system for whole-genome annotation. The key contributions to overall annotation quality are the marshalling of high-quality sequences for alignments and the design of a system with an adaptable and expandable flexible architecture. |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 3 | 4% |
| Portugal | 1 | 1% |
| France | 1 | 1% |
| Brazil | 1 | 1% |
| India | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Switzerland | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 64 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 32% |
| Student > Ph. D. Student | 16 | 20% |
| Student > Bachelor | 8 | 10% |
| Professor > Associate Professor | 8 | 10% |
| Student > Master | 6 | 8% |
| Other | 10 | 13% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 58% |
| Biochemistry, Genetics and Molecular Biology | 9 | 11% |
| Computer Science | 9 | 11% |
| Engineering | 2 | 3% |
| Psychology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 9 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 March 2012.
All research outputs
#3,756,959
of 25,394,764 outputs
Outputs from Genome Biology
#2,537
of 4,470 outputs
Outputs of similar age
#9,352
of 136,571 outputs
Outputs of similar age from Genome Biology
#6
of 24 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 43rd percentile – i.e., 43% 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 136,571 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 93% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.