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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Text-mining of PubMed abstracts by natural language processing to create a public knowledge base on molecular mechanisms of bacterial enteropathogens
|
|---|---|
| Published in |
BMC Bioinformatics, June 2009
|
| DOI | 10.1186/1471-2105-10-177 |
| Pubmed ID | |
| Authors |
Sam Zaremba, Mila Ramos-Santacruz, Thomas Hampton, Panna Shetty, Joel Fedorko, Jon Whitmore, John M Greene, Nicole T Perna, Jeremy D Glasner, Guy Plunkett, Matthew Shaker, David Pot |
| Abstract |
The Enteropathogen Resource Integration Center (ERIC; http://www.ericbrc.org) has a goal of providing bioinformatics support for the scientific community researching enteropathogenic bacteria such as Escherichia coli and Salmonella spp. Rapid and accurate identification of experimental conclusions from the scientific literature is critical to support research in this field. Natural Language Processing (NLP), and in particular Information Extraction (IE) technology, can be a significant aid to this process. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| United Kingdom | 3 | 2% |
| Spain | 2 | 2% |
| Australia | 2 | 2% |
| Brazil | 2 | 2% |
| United Arab Emirates | 1 | <1% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 100 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 22% |
| Student > Ph. D. Student | 24 | 20% |
| Student > Master | 17 | 14% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 24 | 20% |
| Unknown | 15 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 28% |
| Computer Science | 29 | 24% |
| Medicine and Dentistry | 11 | 9% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Engineering | 4 | 3% |
| Other | 14 | 11% |
| Unknown | 22 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 March 2016.
All research outputs
#2,309,015
of 22,707,247 outputs
Outputs from BMC Bioinformatics
#682
of 7,255 outputs
Outputs of similar age
#8,618
of 112,418 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 40 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 112,418 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 92% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.