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Mendeley readers
Attention Score in Context
| Title |
Text-mining and information-retrieval services for molecular biology
|
|---|---|
| Published in |
Genome Biology, June 2005
|
| DOI | 10.1186/gb-2005-6-7-224 |
| Pubmed ID | |
| Authors |
Martin Krallinger, Alfonso Valencia |
| Abstract |
Text-mining in molecular biology -- defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents -- has emerged as a hybrid discipline on the edges of the fields of information science, bioinformatics and computational linguistics. A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators. |
Mendeley readers
The data shown below were compiled from readership statistics for 286 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 5% |
| United Kingdom | 8 | 3% |
| Spain | 6 | 2% |
| Germany | 4 | 1% |
| Australia | 4 | 1% |
| Denmark | 3 | 1% |
| Brazil | 3 | 1% |
| Mexico | 3 | 1% |
| Italy | 1 | <1% |
| Other | 11 | 4% |
| Unknown | 228 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 56 | 20% |
| Student > Master | 53 | 19% |
| Student > Ph. D. Student | 49 | 17% |
| Professor | 24 | 8% |
| Student > Bachelor | 22 | 8% |
| Other | 58 | 20% |
| Unknown | 24 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 26% |
| Computer Science | 50 | 17% |
| Social Sciences | 25 | 9% |
| Medicine and Dentistry | 19 | 7% |
| Biochemistry, Genetics and Molecular Biology | 18 | 6% |
| Other | 69 | 24% |
| Unknown | 32 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 April 2022.
All research outputs
#1,882,566
of 25,374,647 outputs
Outputs from Genome Biology
#1,567
of 4,467 outputs
Outputs of similar age
#2,842
of 67,578 outputs
Outputs of similar age from Genome Biology
#2
of 18 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 64% 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 67,578 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.