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X Demographics
Mendeley readers
Attention Score in Context
Title |
iRefR: an R package to manipulate the iRefIndex consolidated protein interaction database
|
---|---|
Published in |
BMC Bioinformatics, November 2011
|
DOI | 10.1186/1471-2105-12-455 |
Pubmed ID | |
Authors |
Antonio Mora, Ian M Donaldson |
Abstract |
The iRefIndex addresses the need to consolidate protein interaction data into a single uniform data resource. iRefR provides the user with access to this data source from an R environment. |
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 % |
---|---|---|
Canada | 1 | 50% |
Germany | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 4% |
United States | 3 | 4% |
Brazil | 2 | 3% |
Germany | 2 | 3% |
Italy | 2 | 3% |
Sweden | 1 | 1% |
Denmark | 1 | 1% |
Finland | 1 | 1% |
Russia | 1 | 1% |
Other | 1 | 1% |
Unknown | 58 | 77% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 40% |
Student > Ph. D. Student | 16 | 21% |
Student > Master | 8 | 11% |
Student > Doctoral Student | 5 | 7% |
Student > Bachelor | 4 | 5% |
Other | 8 | 11% |
Unknown | 4 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 41% |
Biochemistry, Genetics and Molecular Biology | 13 | 17% |
Computer Science | 7 | 9% |
Medicine and Dentistry | 5 | 7% |
Mathematics | 3 | 4% |
Other | 10 | 13% |
Unknown | 6 | 8% |
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 07 April 2022.
All research outputs
#6,652,922
of 23,500,709 outputs
Outputs from BMC Bioinformatics
#2,524
of 7,400 outputs
Outputs of similar age
#57,833
of 243,234 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 110 outputs
Altmetric has tracked 23,500,709 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,400 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 64% 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 243,234 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 74% of its contemporaries.
We're also able to compare this research output to 110 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 52% of its contemporaries.