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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using cited references to improve the retrieval of related biomedical documents
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-113 |
| Pubmed ID | |
| Authors |
Francisco M Ortuño, Ignacio Rojas, Miguel A Andrade-Navarro, Jean-Fred Fontaine |
| Abstract |
A popular query from scientists reading a biomedical abstract is to search for topic-related documents in bibliographic databases. Such a query is challenging because the amount of information attached to a single abstract is little, whereas classification-based retrieval algorithms are optimally trained with large sets of relevant documents. As a solution to this problem, we propose a query expansion method that extends the information related to a manuscript using its cited references. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 1 | 20% |
| Belgium | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
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 % |
|---|---|---|
| Spain | 2 | 4% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| India | 1 | 2% |
| Netherlands | 1 | 2% |
| Mexico | 1 | 2% |
| Canada | 1 | 2% |
| Russia | 1 | 2% |
| United States | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 42 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Ph. D. Student | 8 | 15% |
| Professor > Associate Professor | 5 | 10% |
| Student > Master | 5 | 10% |
| Other | 4 | 8% |
| Other | 14 | 27% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 29% |
| Agricultural and Biological Sciences | 10 | 19% |
| Medicine and Dentistry | 8 | 15% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 6 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 April 2013.
All research outputs
#7,369,471
of 22,703,044 outputs
Outputs from BMC Bioinformatics
#2,983
of 7,254 outputs
Outputs of similar age
#65,169
of 197,839 outputs
Outputs of similar age from BMC Bioinformatics
#66
of 145 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,254 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 gotten more attention than average, scoring higher than 58% 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 197,839 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 66% of its contemporaries.
We're also able to compare this research output to 145 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 53% of its contemporaries.