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Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence in medical diagnosis: the INTERNIST/CADUCEUS approach.
|
|---|---|
| Published in |
Critical reviews in medical informatics, January 1986
|
| Pubmed ID | |
| Authors |
G Banks |
| Abstract |
The development of computers has provided a potential tool to assist in the management of the information explosion in medicine. The field of medical diagnosis is intellectually challenging and has attracted the attention of computer scientists interested in building expert systems using artificial intelligence techniques. This paper reviews some of the problems of medical diagnosis and discusses examples of programs representing different approaches to solving these problems. The programs developed in our laboratory, INTERNIST-1/CADUCEUS, are discussed in some detail. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Student > Postgraduate | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 5 | 19% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 42% |
| Medicine and Dentistry | 5 | 19% |
| Engineering | 2 | 8% |
| Decision Sciences | 1 | 4% |
| Unknown | 7 | 27% |
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 15 May 2011.
All research outputs
#8,537,346
of 25,382,440 outputs
Outputs from Critical reviews in medical informatics
#1
of 2 outputs
Outputs of similar age
#7,973
of 42,130 outputs
Outputs of similar age from Critical reviews in medical informatics
#1
of 1 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 1 of them.
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 42,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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