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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2006
|
| DOI | 10.1186/1472-6947-6-30 |
| Pubmed ID | |
| Authors |
Qing T Zeng, Sergey Goryachev, Scott Weiss, Margarita Sordo, Shawn N Murphy, Ross Lazarus |
| Abstract |
The text descriptions in electronic medical records are a rich source of information. We have developed a Health Information Text Extraction (HITEx) tool and used it to extract key findings for a research study on airways disease. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 6% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Austria | 1 | <1% |
| Belgium | 1 | <1% |
| Taiwan | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 182 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 20% |
| Student > Ph. D. Student | 34 | 17% |
| Student > Master | 27 | 13% |
| Other | 13 | 6% |
| Professor > Associate Professor | 12 | 6% |
| Other | 40 | 20% |
| Unknown | 35 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 30% |
| Medicine and Dentistry | 48 | 24% |
| Engineering | 11 | 5% |
| Agricultural and Biological Sciences | 10 | 5% |
| Linguistics | 5 | 2% |
| Other | 24 | 12% |
| Unknown | 43 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 January 2024.
All research outputs
#4,549,483
of 22,947,506 outputs
Outputs from BMC Medical Informatics and Decision Making
#405
of 2,001 outputs
Outputs of similar age
#11,554
of 65,612 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 6 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,001 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 79% 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 65,612 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 6 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