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Twitter Demographics
Mendeley readers
Attention Score in Context
Title |
Marmal-aid - a database for Infinium HumanMethylation450
|
---|---|
Published in |
BMC Bioinformatics, December 2013
|
DOI | 10.1186/1471-2105-14-359 |
Pubmed ID | |
Authors |
Robert Lowe, Vardhman K Rakyan |
Abstract |
DNA methylation is indispensible for normal human genome function. Currently there is an increasingly large number of DNA methylomic data being released in the public domain allowing for an opportunity to investigate the relationships between the DNA methylome, genome function, and human phenotypes. The Illumina450K is one of the most popular platforms for assessing DNA methylation with over 10,000 samples available in the public domain. However, accessing all this data requires downloading each individual experiment and due to inconsistent annotation, accessing the right data can be a challenge. |
Twitter Demographics
The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 15% |
United Kingdom | 2 | 15% |
Canada | 1 | 8% |
Portugal | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 46% |
Scientists | 4 | 31% |
Practitioners (doctors, other healthcare professionals) | 2 | 15% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 2% |
Turkey | 1 | 2% |
United States | 1 | 2% |
Australia | 1 | 2% |
Unknown | 45 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 35% |
Student > Ph. D. Student | 12 | 24% |
Student > Bachelor | 6 | 12% |
Student > Master | 4 | 8% |
Other | 2 | 4% |
Other | 6 | 12% |
Unknown | 2 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 43% |
Biochemistry, Genetics and Molecular Biology | 12 | 24% |
Medicine and Dentistry | 8 | 16% |
Computer Science | 4 | 8% |
Mathematics | 1 | 2% |
Other | 0 | 0% |
Unknown | 3 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 May 2017.
All research outputs
#5,146,912
of 24,476,221 outputs
Outputs from BMC Bioinformatics
#1,887
of 7,541 outputs
Outputs of similar age
#59,112
of 318,077 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 101 outputs
Altmetric has tracked 24,476,221 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,541 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 gotten more attention than average, scoring higher than 74% 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 318,077 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.