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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Speech recognition software and electronic psychiatric progress notes: physicians' ratings and preferences
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2010
|
| DOI | 10.1186/1472-6947-10-44 |
| Pubmed ID | |
| Authors |
Yaron D Derman, Tamara Arenovich, John Strauss |
| Abstract |
The context of the current study was mandatory adoption of electronic clinical documentation within a large mental health care organization. Psychiatric electronic documentation has unique needs by the nature of dense narrative content. Our goal was to determine if speech recognition (SR) would ease the creation of electronic progress note (ePN) documents by physicians at our institution. |
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 | 1 | 33% |
| India | 1 | 33% |
| Unknown | 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 2% |
| Spain | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 94 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 16% |
| Researcher | 13 | 13% |
| Student > Doctoral Student | 9 | 9% |
| Student > Ph. D. Student | 7 | 7% |
| Student > Postgraduate | 5 | 5% |
| Other | 21 | 21% |
| Unknown | 27 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 22% |
| Computer Science | 14 | 14% |
| Nursing and Health Professions | 7 | 7% |
| Psychology | 6 | 6% |
| Social Sciences | 4 | 4% |
| Other | 15 | 15% |
| Unknown | 30 | 31% |
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 08 June 2013.
All research outputs
#13,037,496
of 22,711,242 outputs
Outputs from BMC Medical Informatics and Decision Making
#916
of 1,981 outputs
Outputs of similar age
#71,793
of 93,702 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 10 outputs
Altmetric has tracked 22,711,242 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 1,981 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 52% 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 93,702 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.