The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Editorial: Emerging applications of text analytics and natural language processing in healthcare
|
|---|---|
| Published in |
Frontiers in Digital Health, June 2023
|
| DOI | 10.3389/fdgth.2023.1227948 |
| Pubmed ID | |
| Authors |
Khairunnisa Hasikin, Khin Wee Lai, Suresh Chandra Satapathy, Kadir Sabanci, Muhammet Fatih Aslan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 14% |
| Student > Master | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 14% |
| Computer Science | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 11 | 52% |
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 06 July 2023.
All research outputs
#15,759,943
of 24,026,368 outputs
Outputs from Frontiers in Digital Health
#451
of 661 outputs
Outputs of similar age
#113,753
of 219,475 outputs
Outputs of similar age from Frontiers in Digital Health
#15
of 44 outputs
Altmetric has tracked 24,026,368 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 661 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 219,475 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 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.