| Title |
SERS assessment of the cancer-specific methylation pattern of genomic DNA: towards the detection of acute myeloid leukemia in patients undergoing hematopoietic stem cell transplantation
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, November 2019
|
| DOI | 10.1007/s00216-019-02213-2 |
| Pubmed ID | |
| Authors |
Vlad Moisoiu, Andrei Stefancu, Stefania D. Iancu, Tudor Moisoiu, Luminita Loga, Lucia Dican, Cristian D. Alecsa, Imre Boros, Anca Jurj, Delia Dima, Cristina Bagacean, Romulus Tetean, Emil Burzo, Ciprian Tomuleasa, Florin Elec, Nicolae Leopold |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Researcher | 5 | 22% |
| Other | 2 | 9% |
| Lecturer | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 9% |
| Engineering | 2 | 9% |
| Materials Science | 2 | 9% |
| Mathematics | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 6 | 26% |
| Unknown | 9 | 39% |
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 09 December 2019.
All research outputs
#15,992,387
of 25,387,668 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,924
of 9,622 outputs
Outputs of similar age
#264,732
of 471,534 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#64
of 188 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,622 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 48th percentile – i.e., 48% 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 471,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 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 65% of its contemporaries.