You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic classification of sentences to support Evidence Based Medicine
|
|---|---|
| Published in |
BMC Bioinformatics, March 2011
|
| DOI | 10.1186/1471-2105-12-s2-s5 |
| Pubmed ID | |
| Authors |
Su Nam Kim, David Martinez, Lawrence Cavedon, Lars Yencken |
| Abstract |
Given a set of pre-defined medical categories used in Evidence Based Medicine, we aim to automatically annotate sentences in medical abstracts with these labels. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 4% |
| United States | 3 | 3% |
| India | 1 | 1% |
| Ireland | 1 | 1% |
| Spain | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 81 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 23% |
| Researcher | 15 | 16% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 5 | 5% |
| Professor > Associate Professor | 5 | 5% |
| Other | 19 | 21% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 40% |
| Medicine and Dentistry | 16 | 17% |
| Engineering | 5 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Linguistics | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 17 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 November 2013.
All research outputs
#18,353,475
of 22,729,647 outputs
Outputs from BMC Bioinformatics
#6,300
of 7,266 outputs
Outputs of similar age
#95,410
of 108,837 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 43 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 108,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.