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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MeSH indexing based on automatically generated summaries
|
|---|---|
| Published in |
BMC Bioinformatics, June 2013
|
| DOI | 10.1186/1471-2105-14-208 |
| Pubmed ID | |
| Authors |
Antonio J Jimeno-Yepes, Laura Plaza, James G Mork, Alan R Aronson, Alberto Díaz |
| Abstract |
MEDLINE citations are manually indexed at the U.S. National Library of Medicine (NLM) using as reference the Medical Subject Headings (MeSH) controlled vocabulary. For this task, the human indexers read the full text of the article. Due to the growth of MEDLINE, the NLM Indexing Initiative explores indexing methodologies that can support the task of the indexers. Medical Text Indexer (MTI) is a tool developed by the NLM Indexing Initiative to provide MeSH indexing recommendations to indexers. Currently, the input to MTI is MEDLINE citations, title and abstract only. Previous work has shown that using full text as input to MTI increases recall, but decreases precision sharply. We propose using summaries generated automatically from the full text for the input to MTI to use in the task of suggesting MeSH headings to indexers. Summaries distill the most salient information from the full text, which might increase the coverage of automatic indexing approaches based on MEDLINE. We hypothesize that if the results were good enough, manual indexers could possibly use automatic summaries instead of the full texts, along with the recommendations of MTI, to speed up the process while maintaining high quality of indexing results. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 50% |
| United Kingdom | 1 | 25% |
| Norway | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Australia | 2 | 3% |
| Portugal | 1 | 2% |
| Netherlands | 1 | 2% |
| Mexico | 1 | 2% |
| Russia | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 48 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Researcher | 11 | 19% |
| Librarian | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 3 | 5% |
| Other | 13 | 22% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 38% |
| Agricultural and Biological Sciences | 11 | 19% |
| Social Sciences | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 11 | 19% |
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 27 June 2013.
All research outputs
#13,172,924
of 23,322,966 outputs
Outputs from BMC Bioinformatics
#3,836
of 7,386 outputs
Outputs of similar age
#100,445
of 197,832 outputs
Outputs of similar age from BMC Bioinformatics
#43
of 85 outputs
Altmetric has tracked 23,322,966 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,386 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 47th percentile – i.e., 47% 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 197,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 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 50% of its contemporaries.