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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Utilizing deep learning and graph mining to identify drug use on Twitter data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2020
|
| DOI | 10.1186/s12911-020-01335-3 |
| Pubmed ID | |
| Authors |
Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago, Salimur Choudhury |
X Demographics
The data shown below were collected from the profiles of 12 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 | 17% |
| Peru | 1 | 8% |
| Canada | 1 | 8% |
| United Kingdom | 1 | 8% |
| Colombia | 1 | 8% |
| France | 1 | 8% |
| Brazil | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 14% |
| Researcher | 7 | 14% |
| Student > Ph. D. Student | 4 | 8% |
| Lecturer | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 19 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 31% |
| Medicine and Dentistry | 4 | 8% |
| Engineering | 2 | 4% |
| Mathematics | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 22 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 February 2021.
All research outputs
#5,998,649
of 24,417,958 outputs
Outputs from BMC Medical Informatics and Decision Making
#508
of 2,075 outputs
Outputs of similar age
#138,920
of 512,394 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 57 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 75% 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 512,394 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 72% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.