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X Demographics
Mendeley readers
Attention Score in Context
Title |
AnnotateGenomicRegions: a web application
|
---|---|
Published in |
BMC Bioinformatics, January 2014
|
DOI | 10.1186/1471-2105-15-s1-s8 |
Pubmed ID | |
Authors |
Luca Zammataro, Rita DeMolfetta, Gabriele Bucci, Arnaud Ceol, Heiko Muller |
Abstract |
Modern genomic technologies produce large amounts of data that can be mapped to specific regions in the genome. Among the first steps in interpreting the results is annotation of genomic regions with known features such as genes, promoters, CpG islands etc. Several tools have been published to perform this task. However, using these tools often requires a significant amount of bioinformatics skills and/or downloading and installing dedicated software. |
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 % |
---|---|---|
United States | 3 | 50% |
Spain | 1 | 17% |
Italy | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 83% |
Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | 12% |
Unknown | 15 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 41% |
Student > Bachelor | 3 | 18% |
Student > Master | 2 | 12% |
Student > Ph. D. Student | 1 | 6% |
Lecturer > Senior Lecturer | 1 | 6% |
Other | 2 | 12% |
Unknown | 1 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 35% |
Biochemistry, Genetics and Molecular Biology | 4 | 24% |
Computer Science | 4 | 24% |
Business, Management and Accounting | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Other | 1 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 March 2014.
All research outputs
#7,128,341
of 23,452,723 outputs
Outputs from BMC Bioinformatics
#2,708
of 7,389 outputs
Outputs of similar age
#83,992
of 308,440 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 100 outputs
Altmetric has tracked 23,452,723 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,389 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 63% 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 308,440 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 100 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 66% of its contemporaries.