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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Techniques for Personalised Medicine Approaches in Immune-Mediated Chronic Inflammatory Diseases: Applications and Challenges
|
|---|---|
| Published in |
Frontiers in Pharmacology, September 2021
|
| DOI | 10.3389/fphar.2021.720694 |
| Pubmed ID | |
| Authors |
Junjie Peng, Elizabeth C. Jury, Pierre Dönnes, Coziana Ciurtin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 277 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 10% |
| Student > Bachelor | 19 | 7% |
| Unspecified | 18 | 6% |
| Researcher | 17 | 6% |
| Student > Ph. D. Student | 10 | 4% |
| Other | 33 | 12% |
| Unknown | 151 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 7% |
| Unspecified | 19 | 7% |
| Medicine and Dentistry | 15 | 5% |
| Biochemistry, Genetics and Molecular Biology | 14 | 5% |
| Engineering | 13 | 5% |
| Other | 38 | 14% |
| Unknown | 159 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 26 June 2023.
All research outputs
#2,261,688
of 26,189,645 outputs
Outputs from Frontiers in Pharmacology
#956
of 20,160 outputs
Outputs of similar age
#50,575
of 440,535 outputs
Outputs of similar age from Frontiers in Pharmacology
#37
of 1,034 outputs
Altmetric has tracked 26,189,645 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 440,535 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 88% of its contemporaries.
We're also able to compare this research output to 1,034 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.