The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Approach to machine learning for extraction of real-world data variables from electronic health records
|
|---|---|
| Published in |
Frontiers in Pharmacology, September 2023
|
| DOI | 10.3389/fphar.2023.1180962 |
| Pubmed ID | |
| Authors |
Blythe Adamson, Michael Waskom, Auriane Blarre, Jonathan Kelly, Konstantin Krismer, Sheila Nemeth, James Gippetti, John Ritten, Katherine Harrison, George Ho, Robin Linzmayer, Tarun Bansal, Samuel Wilkinson, Guy Amster, Evan Estola, Corey M. Benedum, Erin Fidyk, Melissa Estévez, Will Shapiro, Aaron B. Cohen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 9% |
| Researcher | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Lecturer | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 30 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 15% |
| Computer Science | 4 | 7% |
| Engineering | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 29 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 December 2023.
All research outputs
#16,476,746
of 25,032,929 outputs
Outputs from Frontiers in Pharmacology
#6,226
of 19,185 outputs
Outputs of similar age
#173,710
of 337,446 outputs
Outputs of similar age from Frontiers in Pharmacology
#114
of 696 outputs
Altmetric has tracked 25,032,929 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 61% 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 337,446 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 696 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.