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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation
|
|---|---|
| Published in |
BMC Medicine, November 2020
|
| DOI | 10.1186/s12916-020-01819-z |
| Pubmed ID | |
| Authors |
Nancy McBride, Paul Yousefi, Sara L. White, Lucilla Poston, Diane Farrar, Naveed Sattar, Scott M. Nelson, John Wright, Dan Mason, Matthew Suderman, Caroline Relton, Deborah A. Lawlor |
X Demographics
The data shown below were collected from the profiles of 17 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 | 7 | 41% |
| Canada | 2 | 12% |
| Chile | 1 | 6% |
| Comoros | 1 | 6% |
| France | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Practitioners (doctors, other healthcare professionals) | 4 | 24% |
| Scientists | 3 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 10% |
| Student > Ph. D. Student | 8 | 8% |
| Student > Bachelor | 8 | 8% |
| Student > Postgraduate | 7 | 7% |
| Student > Master | 6 | 6% |
| Other | 17 | 16% |
| Unknown | 49 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 18 | 17% |
| Medicine and Dentistry | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Unspecified | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 53 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 01 December 2020.
All research outputs
#3,515,553
of 25,837,817 outputs
Outputs from BMC Medicine
#2,080
of 4,075 outputs
Outputs of similar age
#93,879
of 527,721 outputs
Outputs of similar age from BMC Medicine
#69
of 121 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. 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 527,721 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 121 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.