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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mining biomarker information in biomedical literature
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2012
|
| DOI | 10.1186/1472-6947-12-148 |
| Pubmed ID | |
| Authors |
Erfan Younesi, Luca Toldo, Bernd Müller, Christoph M Friedrich, Natalia Novac, Alexander Scheer, Martin Hofmann-Apitius, Juliane Fluck |
| Abstract |
For selection and evaluation of potential biomarkers, inclusion of already published information is of utmost importance. In spite of significant advancements in text- and data-mining techniques, the vast knowledge space of biomarkers in biomedical text has remained unexplored. Existing named entity recognition approaches are not sufficiently selective for the retrieval of biomarker information from the literature. The purpose of this study was to identify textual features that enhance the effectiveness of biomarker information retrieval for different indication areas and diverse end user perspectives. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 33% |
| Spain | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 2% |
| Mexico | 2 | 2% |
| Egypt | 1 | 1% |
| Sweden | 1 | 1% |
| United States | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 87 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 21% |
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 18 | 19% |
| Professor | 9 | 9% |
| Student > Bachelor | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 24% |
| Agricultural and Biological Sciences | 18 | 19% |
| Medicine and Dentistry | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Chemistry | 5 | 5% |
| Other | 22 | 23% |
| Unknown | 11 | 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 02 January 2014.
All research outputs
#6,674,205
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#633
of 2,027 outputs
Outputs of similar age
#69,920
of 284,398 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#22
of 48 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,027 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% 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 284,398 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 73% of its contemporaries.
We're also able to compare this research output to 48 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 54% of its contemporaries.