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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Moonstone: a novel natural language processing system for inferring social risk from clinical narratives
|
|---|---|
| Published in |
Journal of Biomedical Semantics, April 2019
|
| DOI | 10.1186/s13326-019-0198-0 |
| Pubmed ID | |
| Authors |
Mike Conway, Salomeh Keyhani, Lee Christensen, Brett R. South, Marzieh Vali, Louise C. Walter, Danielle L. Mowery, Samir Abdelrahman, Wendy W. Chapman |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| United Kingdom | 1 | 20% |
| France | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 21% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Doctoral Student | 9 | 9% |
| Professor | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 32 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 11% |
| Computer Science | 11 | 11% |
| Nursing and Health Professions | 10 | 10% |
| Economics, Econometrics and Finance | 4 | 4% |
| Psychology | 4 | 4% |
| Other | 16 | 16% |
| Unknown | 41 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 April 2021.
All research outputs
#2,489,733
of 23,144,579 outputs
Outputs from Journal of Biomedical Semantics
#37
of 366 outputs
Outputs of similar age
#57,726
of 353,226 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 2 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 366 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 89% 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 353,226 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 83% of its contemporaries.
We're also able to compare this research output to 2 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