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X Demographics
Mendeley readers
Attention Score in Context
Title |
Bioconductor: open software development for computational biology and bioinformatics
|
---|---|
Published in |
Genome Biology, September 2004
|
DOI | 10.1186/gb-2004-5-10-r80 |
Pubmed ID | |
Authors |
Robert C Gentleman, Vincent J Carey, Douglas M Bates, Ben Bolstad, Marcel Dettling, Sandrine Dudoit, Byron Ellis, Laurent Gautier, Yongchao Ge, Jeff Gentry, Kurt Hornik, Torsten Hothorn, Wolfgang Huber, Stefano Iacus, Rafael Irizarry, Friedrich Leisch, Cheng Li, Martin Maechler, Anthony J Rossini, Gunther Sawitzki, Colin Smith, Gordon Smyth, Luke Tierney, Jean YH Yang, Jianhua Zhang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4,764 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 108 | 2% |
United Kingdom | 44 | <1% |
Germany | 37 | <1% |
Spain | 21 | <1% |
Brazil | 18 | <1% |
France | 17 | <1% |
Netherlands | 14 | <1% |
India | 13 | <1% |
Denmark | 11 | <1% |
Other | 127 | 3% |
Unknown | 4354 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1171 | 25% |
Researcher | 1054 | 22% |
Student > Master | 577 | 12% |
Student > Bachelor | 328 | 7% |
Student > Doctoral Student | 268 | 6% |
Other | 796 | 17% |
Unknown | 570 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1951 | 41% |
Biochemistry, Genetics and Molecular Biology | 835 | 18% |
Medicine and Dentistry | 309 | 6% |
Computer Science | 304 | 6% |
Engineering | 107 | 2% |
Other | 545 | 11% |
Unknown | 713 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 25 April 2024.
All research outputs
#802,507
of 26,388,114 outputs
Outputs from Genome Biology
#506
of 4,603 outputs
Outputs of similar age
#794
of 74,189 outputs
Outputs of similar age from Genome Biology
#1
of 26 outputs
Altmetric has tracked 26,388,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 88% 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 74,189 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 98% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.