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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting phenotypes of asthma and eczema with machine learning
|
---|---|
Published in |
BMC Medical Genomics, May 2014
|
DOI | 10.1186/1755-8794-7-s1-s7 |
Pubmed ID | |
Authors |
Mattia CF Prosperi, Susana Marinho, Angela Simpson, Adnan Custovic, Iain E Buchan |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 25% |
Germany | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Portugal | 1 | 1% |
Unknown | 88 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 19% |
Student > Ph. D. Student | 15 | 16% |
Researcher | 10 | 11% |
Student > Bachelor | 9 | 10% |
Other | 9 | 10% |
Other | 14 | 15% |
Unknown | 17 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 31% |
Computer Science | 11 | 12% |
Agricultural and Biological Sciences | 9 | 10% |
Nursing and Health Professions | 6 | 7% |
Mathematics | 3 | 3% |
Other | 12 | 13% |
Unknown | 22 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 March 2015.
All research outputs
#14,599,159
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#894
of 2,444 outputs
Outputs of similar age
#117,813
of 242,096 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 37 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 62% 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 242,096 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 50% of its contemporaries.
We're also able to compare this research output to 37 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 62% of its contemporaries.