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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Transcriptomics-Based Meta-Analysis Combined With Machine Learning Identifies a Secretory Biomarker Panel for Diagnosis of Pancreatic Adenocarcinoma
|
|---|---|
| Published in |
Frontiers in Genetics, September 2020
|
| DOI | 10.3389/fgene.2020.572284 |
| Pubmed ID | |
| Authors |
Indu Khatri, Manoj K. Bhasin |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Switzerland | 1 | 14% |
| India | 1 | 14% |
| Netherlands | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 22% |
| Student > Ph. D. Student | 9 | 22% |
| Student > Bachelor | 4 | 10% |
| Student > Postgraduate | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 13 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 24% |
| Agricultural and Biological Sciences | 5 | 12% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 14 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 November 2020.
All research outputs
#7,623,423
of 23,237,082 outputs
Outputs from Frontiers in Genetics
#2,508
of 12,278 outputs
Outputs of similar age
#162,925
of 401,151 outputs
Outputs of similar age from Frontiers in Genetics
#103
of 454 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,278 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 78% 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 401,151 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 454 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.