You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death
|
|---|---|
| Published in |
Journal of Biomedical Semantics, November 2019
|
| DOI | 10.1186/s13326-019-0214-4 |
| Pubmed ID | |
| Authors |
Anoop D. Shah, Emily Bailey, Tim Williams, Spiros Denaxas, Richard Dobson, Harry Hemingway |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 3 | 30% |
| Australia | 2 | 20% |
| France | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Professor | 3 | 4% |
| Other | 14 | 20% |
| Unknown | 27 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 12% |
| Computer Science | 7 | 10% |
| Nursing and Health Professions | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Unspecified | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 31 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 November 2019.
All research outputs
#6,216,833
of 23,172,045 outputs
Outputs from Journal of Biomedical Semantics
#111
of 366 outputs
Outputs of similar age
#113,437
of 359,983 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 8 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 366 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 69% 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 359,983 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.