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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Eval: A software package for analysis of genome annotations
|
---|---|
Published in |
BMC Bioinformatics, October 2003
|
DOI | 10.1186/1471-2105-4-50 |
Pubmed ID | |
Authors |
Evan Keibler, Michael R Brent |
Abstract |
Eval is a flexible tool for analyzing the performance of gene annotation systems. It provides summaries and graphical distributions for many descriptive statistics about any set of annotations, regardless of their source. It also compares sets of predictions to standard annotations and to one another. Input is in the standard Gene Transfer Format (GTF). Eval can be run interactively or via the command line, in which case output options include easily parsable tab-delimited files. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 2% |
Germany | 1 | 1% |
Switzerland | 1 | 1% |
Italy | 1 | 1% |
Sweden | 1 | 1% |
United Kingdom | 1 | 1% |
Taiwan | 1 | 1% |
China | 1 | 1% |
Korea, Republic of | 1 | 1% |
Other | 1 | 1% |
Unknown | 82 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 24% |
Researcher | 21 | 23% |
Student > Master | 18 | 19% |
Student > Doctoral Student | 8 | 9% |
Professor | 5 | 5% |
Other | 10 | 11% |
Unknown | 9 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 51 | 55% |
Computer Science | 11 | 12% |
Biochemistry, Genetics and Molecular Biology | 11 | 12% |
Environmental Science | 2 | 2% |
Business, Management and Accounting | 2 | 2% |
Other | 7 | 8% |
Unknown | 9 | 10% |
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 12 September 2012.
All research outputs
#17,218,945
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#5,638
of 7,672 outputs
Outputs of similar age
#53,057
of 58,534 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 18th percentile – i.e., 18% 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 58,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them