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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring novel gene-disease associations using medical subject heading over-representation profiles
|
|---|---|
| Published in |
Genome Medicine, September 2012
|
| DOI | 10.1186/gm376 |
| Pubmed ID | |
| Abstract |
MEDLINE(®)/PubMed(®) currently indexes over 18 million biomedical articles, providing unprecedented opportunities and challenges for text analysis. Using Medical Subject Heading Over-representation Profiles (MeSHOPs), an entity of interest can be robustly summarized, quantitatively identifying associated biomedical terms and predicting novel indirect associations. |
Twitter Demographics
The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 43% |
| Peru | 1 | 14% |
| United States | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 3 | 43% |
| Scientists | 2 | 29% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 36 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 9 | 23% |
| Student > Bachelor | 5 | 13% |
| Other | 4 | 10% |
| Student > Postgraduate | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 26% |
| Agricultural and Biological Sciences | 10 | 26% |
| Medicine and Dentistry | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Engineering | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 2 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 04 November 2012.
All research outputs
#2,379,383
of 22,679,690 outputs
Outputs from Genome Medicine
#550
of 1,433 outputs
Outputs of similar age
#17,054
of 172,156 outputs
Outputs of similar age from Genome Medicine
#3
of 10 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,433 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has gotten more attention than average, scoring higher than 61% 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 172,156 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 90% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.