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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Resting-state brain metabolic fingerprinting clusters (biomarkers) and predictive models for major depression in multiple myeloma patients
|
|---|---|
| Published in |
PLOS ONE, May 2021
|
| DOI | 10.1371/journal.pone.0251026 |
| Pubmed ID | |
| Authors |
Xiaofei Wang, Joshua Eichhorn, Iqbal Haq, Ahmad Baghal |
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 % |
|---|---|---|
| Canada | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Unspecified | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 16 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 17% |
| Psychology | 4 | 11% |
| Unspecified | 3 | 9% |
| Computer Science | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 16 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 June 2021.
All research outputs
#2,938,048
of 24,184,356 outputs
Outputs from PLOS ONE
#37,044
of 208,025 outputs
Outputs of similar age
#72,633
of 431,413 outputs
Outputs of similar age from PLOS ONE
#651
of 2,941 outputs
Altmetric has tracked 24,184,356 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 81% 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 431,413 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 82% of its contemporaries.
We're also able to compare this research output to 2,941 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.