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Mendeley readers
Attention Score in Context
Title |
Assessing the impact of comparative genomic sequence data on the functional annotation of the Drosophilagenome
|
---|---|
Published in |
Genome Biology, December 2002
|
DOI | 10.1186/gb-2002-3-12-research0086 |
Pubmed ID | |
Authors |
Casey M Bergman, Barret D Pfeiffer, Diego E Rincón-Limas, Roger A Hoskins, Andreas Gnirke, Chris J Mungall, Adrienne M Wang, Brent Kronmiller, Joanne Pacleb, Soo Park, Mark Stapleton, Kenneth Wan, Reed A George, Pieter J de Jong, Juan Botas, Gerald M Rubin, Susan E Celniker |
Abstract |
It is widely accepted that comparative sequence data can aid the functional annotation of genome sequences; however, the most informative species and features of genome evolution for comparison remain to be determined. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
United Kingdom | 3 | 3% |
Germany | 2 | 2% |
France | 2 | 2% |
Portugal | 1 | <1% |
Denmark | 1 | <1% |
Chile | 1 | <1% |
Spain | 1 | <1% |
Russia | 1 | <1% |
Other | 2 | 2% |
Unknown | 95 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 33 | 29% |
Student > Ph. D. Student | 27 | 24% |
Professor > Associate Professor | 18 | 16% |
Professor | 6 | 5% |
Student > Master | 6 | 5% |
Other | 13 | 12% |
Unknown | 9 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 75 | 67% |
Biochemistry, Genetics and Molecular Biology | 12 | 11% |
Computer Science | 6 | 5% |
Neuroscience | 4 | 4% |
Environmental Science | 1 | <1% |
Other | 2 | 2% |
Unknown | 12 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 March 2021.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#131,825
of 136,711 outputs
Outputs of similar age from Genome Biology
#20
of 23 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 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 1st percentile – i.e., 1% 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 136,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.