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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative biomedical annotation using medical subject heading over-representation profiles (MeSHOPs)
|
|---|---|
| Published in |
BMC Bioinformatics, September 2012
|
| DOI | 10.1186/1471-2105-13-249 |
| Pubmed ID | |
| Authors |
Warren A Cheung, BF Francis Ouellette, Wyeth W Wasserman |
| Abstract |
MEDLINE®/PubMed® indexes over 20 million biomedical articles, providing curated annotation of its contents using a controlled vocabulary known as Medical Subject Headings (MeSH). The MeSH vocabulary, developed over 50+ years, provides a broad coverage of topics across biomedical research. Distilling the essential biomedical themes for a topic of interest from the relevant literature is important to both understand the importance of related concepts and discover new relationships. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 33% |
| Canada | 2 | 22% |
| Sweden | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Netherlands | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Russia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 45 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Bachelor | 6 | 12% |
| Professor > Associate Professor | 5 | 10% |
| Student > Master | 5 | 10% |
| Other | 8 | 15% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 31% |
| Agricultural and Biological Sciences | 8 | 15% |
| Engineering | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 May 2013.
All research outputs
#2,229,251
of 22,679,690 outputs
Outputs from BMC Bioinformatics
#646
of 7,251 outputs
Outputs of similar age
#15,680
of 171,825 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 105 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,251 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 done particularly well, scoring higher than 91% 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 171,825 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 105 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.