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X Demographics
Mendeley readers
Attention Score in Context
Title |
The BridgeDb framework: standardized access to gene, protein and metabolite identifier mapping services
|
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Published in |
BMC Bioinformatics, January 2010
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DOI | 10.1186/1471-2105-11-5 |
Pubmed ID | |
Authors |
Martijn P van Iersel, Alexander R Pico, Thomas Kelder, Jianjiong Gao, Isaac Ho, Kristina Hanspers, Bruce R Conklin, Chris T Evelo |
Abstract |
Many complementary solutions are available for the identifier mapping problem. This creates an opportunity for bioinformatics tool developers. Tools can be made to flexibly support multiple mapping services or mapping services could be combined to get broader coverage. This approach requires an interface layer between tools and mapping services. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
Netherlands | 1 | 33% |
Sweden | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Unknown | 124 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 10% |
Student > Ph. D. Student | 8 | 6% |
Other | 7 | 6% |
Student > Master | 5 | 4% |
Professor > Associate Professor | 4 | 3% |
Other | 6 | 5% |
Unknown | 83 | 66% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 11 | 9% |
Agricultural and Biological Sciences | 8 | 6% |
Biochemistry, Genetics and Molecular Biology | 5 | 4% |
Environmental Science | 4 | 3% |
Medicine and Dentistry | 4 | 3% |
Other | 6 | 5% |
Unknown | 87 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 2022.
All research outputs
#1,376,131
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#187
of 7,506 outputs
Outputs of similar age
#5,981
of 170,700 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 58 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 170,700 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 96% of its contemporaries.
We're also able to compare this research output to 58 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 94% of its contemporaries.