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Mendeley readers
Attention Score in Context
| Title |
Information extraction from full text scientific articles: Where are the keywords?
|
|---|---|
| Published in |
BMC Bioinformatics, May 2003
|
| DOI | 10.1186/1471-2105-4-20 |
| Pubmed ID | |
| Authors |
Parantu K Shah, Carolina Perez-Iratxeta, Peer Bork, Miguel A Andrade |
| Abstract |
To date, many of the methods for information extraction of biological information from scientific articles are restricted to the abstract of the article. However, full text articles in electronic version, which offer larger sources of data, are currently available. Several questions arise as to whether the effort of scanning full text articles is worthy, or whether the information that can be extracted from the different sections of an article can be relevant. |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 4 | 2% |
| Portugal | 3 | 1% |
| Germany | 3 | 1% |
| France | 2 | <1% |
| Brazil | 2 | <1% |
| Canada | 2 | <1% |
| Spain | 2 | <1% |
| India | 1 | <1% |
| Other | 8 | 4% |
| Unknown | 171 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 20% |
| Student > Master | 38 | 19% |
| Researcher | 35 | 17% |
| Student > Postgraduate | 16 | 8% |
| Professor > Associate Professor | 15 | 7% |
| Other | 39 | 19% |
| Unknown | 20 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 30% |
| Agricultural and Biological Sciences | 40 | 20% |
| Medicine and Dentistry | 12 | 6% |
| Engineering | 12 | 6% |
| Social Sciences | 9 | 4% |
| Other | 44 | 21% |
| Unknown | 27 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 September 2011.
All research outputs
#14,543,083
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#4,007
of 7,672 outputs
Outputs of similar age
#47,069
of 53,113 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 53,113 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them