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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands
|
|---|---|
| Published in |
Radiation Oncology, July 2019
|
| DOI | 10.1186/s13014-019-1339-4 |
| Pubmed ID | |
| Authors |
Khadija Sheikh, Sang Ho Lee, Zhi Cheng, Pranav Lakshminarayanan, Luke Peng, Peijin Han, Todd R. McNutt, Harry Quon, Junghoon Lee |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 11% |
| Student > Ph. D. Student | 11 | 10% |
| Researcher | 9 | 8% |
| Student > Bachelor | 9 | 8% |
| Student > Postgraduate | 8 | 7% |
| Other | 22 | 20% |
| Unknown | 38 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 26% |
| Nursing and Health Professions | 9 | 8% |
| Physics and Astronomy | 8 | 7% |
| Computer Science | 7 | 6% |
| Engineering | 5 | 5% |
| Other | 9 | 8% |
| Unknown | 43 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 January 2020.
All research outputs
#18,707,884
of 23,186,937 outputs
Outputs from Radiation Oncology
#1,432
of 2,083 outputs
Outputs of similar age
#258,077
of 346,395 outputs
Outputs of similar age from Radiation Oncology
#24
of 54 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,083 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 18th percentile – i.e., 18% 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 346,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.