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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mining the literature: new methods to exploit keyword profiles
|
|---|---|
| Published in |
Genome Medicine, October 2012
|
| DOI | 10.1186/gm382 |
| Pubmed ID | |
| Authors |
Miguel A Andrade-Navarro |
| Abstract |
Bibliographic records in the PubMed database of biomedical literature are annotated with Medical Subject Headings (MeSH) by curators, which summarize the content of the articles. Two recent publications explain how to generate profiles of MeSH terms for a set of bibliographic records and to use them to define any given concept by its associated literature. These concepts can then be related by their keyword profiles, and this can be used, for example, to detect new associations between genes and inherited diseases. |
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 % |
|---|---|---|
| Canada | 1 | 25% |
| Peru | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 9% |
| United States | 2 | 9% |
| Spain | 1 | 5% |
| Unknown | 17 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 27% |
| Student > Ph. D. Student | 4 | 18% |
| Other | 3 | 14% |
| Professor > Associate Professor | 2 | 9% |
| Unspecified | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 23% |
| Medicine and Dentistry | 3 | 14% |
| Computer Science | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Nursing and Health Professions | 1 | 5% |
| Other | 6 | 27% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 November 2012.
All research outputs
#3,401,937
of 25,371,288 outputs
Outputs from Genome Medicine
#747
of 1,585 outputs
Outputs of similar age
#24,801
of 202,126 outputs
Outputs of similar age from Genome Medicine
#11
of 22 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 52% 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 202,126 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 87% of its contemporaries.
We're also able to compare this research output to 22 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 50% of its contemporaries.