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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of natural language processing from emergency department computerized medical records for intra-hospital syndromic surveillance
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2011
|
| DOI | 10.1186/1472-6947-11-50 |
| Pubmed ID | |
| Authors |
Solweig Gerbier, Olga Yarovaya, Quentin Gicquel, Anne-Laure Millet, Véronique Smaldore, Véronique Pagliaroli, Stefan Darmoni, Marie-Hélène Metzger |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| India | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 2% |
| United States | 2 | 2% |
| Iran, Islamic Republic of | 1 | 1% |
| Unknown | 84 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Researcher | 12 | 13% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Other | 5 | 6% |
| Other | 21 | 24% |
| Unknown | 16 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 34% |
| Computer Science | 12 | 13% |
| Social Sciences | 6 | 7% |
| Psychology | 4 | 4% |
| Arts and Humanities | 4 | 4% |
| Other | 15 | 17% |
| Unknown | 18 | 20% |
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 25 December 2014.
All research outputs
#13,219,006
of 23,292,144 outputs
Outputs from BMC Medical Informatics and Decision Making
#897
of 2,023 outputs
Outputs of similar age
#77,151
of 120,870 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 13 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,023 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 120,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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 61% of its contemporaries.