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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2019
|
| DOI | 10.1186/s12911-019-0863-3 |
| Pubmed ID | |
| Authors |
Ellen L. Palmer, Saeed Hassanpour, John Higgins, Jennifer A. Doherty, Tracy Onega |
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 Kingdom | 1 | 20% |
| France | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 14% |
| Researcher | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Lecturer | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 21 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 22% |
| Computer Science | 4 | 8% |
| Economics, Econometrics and Finance | 3 | 6% |
| Psychology | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 25 | 49% |
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 23 August 2019.
All research outputs
#12,837,668
of 23,153,184 outputs
Outputs from BMC Medical Informatics and Decision Making
#848
of 2,016 outputs
Outputs of similar age
#153,726
of 346,714 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 48 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,016 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 57% 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 346,714 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 54% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.