| Title |
Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges
|
|---|---|
| Published in |
PharmacoEconomics, March 2019
|
| DOI | 10.1007/s40273-019-00777-6 |
| Pubmed ID | |
| Authors |
David Thesmar, David Sraer, Lisa Pinheiro, Nick Dadson, Razvan Veliche, Paul Greenberg |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| United Kingdom | 1 | 11% |
| New Zealand | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 159 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 13% |
| Researcher | 17 | 11% |
| Student > Doctoral Student | 16 | 10% |
| Student > Master | 15 | 9% |
| Student > Bachelor | 13 | 8% |
| Other | 24 | 15% |
| Unknown | 54 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 14% |
| Business, Management and Accounting | 15 | 9% |
| Engineering | 12 | 8% |
| Economics, Econometrics and Finance | 9 | 6% |
| Social Sciences | 8 | 5% |
| Other | 38 | 24% |
| Unknown | 55 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 January 2024.
All research outputs
#2,893,812
of 23,556,846 outputs
Outputs from PharmacoEconomics
#265
of 1,877 outputs
Outputs of similar age
#65,440
of 353,232 outputs
Outputs of similar age from PharmacoEconomics
#7
of 38 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,877 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 85% 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 353,232 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 81% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.