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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating multiple ‘omics’ analyses identifies serological protein biomarkers for preeclampsia
|
|---|---|
| Published in |
BMC Medicine, November 2013
|
| DOI | 10.1186/1741-7015-11-236 |
| Pubmed ID | |
| Authors |
Linda Y Liu, Ting Yang, Jun Ji, Qiaojun Wen, Alexander A Morgan, Bo Jin, Gongxing Chen, Deirdre J Lyell, David K Stevenson, Xuefeng B Ling, Atul J Butte |
| Abstract |
Preeclampsia (PE) is a pregnancy-related vascular disorder which is the leading cause of maternal morbidity and mortality. We sought to identify novel serological protein markers to diagnose PE with a multi-'omics' based discovery approach. |
X Demographics
The data shown below were collected from the profiles of 41 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 States | 21 | 51% |
| United Kingdom | 6 | 15% |
| Brazil | 1 | 2% |
| Chile | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 10 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 49% |
| Scientists | 14 | 34% |
| Practitioners (doctors, other healthcare professionals) | 7 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| Nigeria | 1 | 1% |
| Unknown | 89 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 22% |
| Researcher | 16 | 17% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 7 | 8% |
| Other | 5 | 5% |
| Other | 17 | 18% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 32% |
| Agricultural and Biological Sciences | 18 | 20% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Computer Science | 5 | 5% |
| Engineering | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 24 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 28 March 2019.
All research outputs
#1,226,969
of 25,641,627 outputs
Outputs from BMC Medicine
#859
of 4,066 outputs
Outputs of similar age
#11,157
of 229,334 outputs
Outputs of similar age from BMC Medicine
#16
of 53 outputs
Altmetric has tracked 25,641,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.5. 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 229,334 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 53 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 69% of its contemporaries.