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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes
|
|---|---|
| Published in |
BMC Medical Imaging, August 2014
|
| DOI | 10.1186/1471-2342-14-26 |
| Pubmed ID | |
| Authors |
Rasheed Zakaria, Kumar Das, Mark Radon, Maneesh Bhojak, Philip R Rudland, Vanessa Sluming, Michael D Jenkinson |
| Abstract |
Diffusion-weighted MRI (DWI) has been used in neurosurgical practice mainly to distinguish cerebral metastases from abscess and glioma. There is evidence from other solid organ cancers and metastases that DWI may be used as a biomarker of prognosis and treatment response. We therefore investigated DWI characteristics of cerebral metastases and their peritumoral region recorded pre-operatively and related these to patient outcomes. |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 2 | 29% |
| Brazil | 1 | 14% |
| Kuwait | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 69 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Student > Doctoral Student | 9 | 13% |
| Other | 7 | 10% |
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 6 | 8% |
| Other | 15 | 21% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 48% |
| Neuroscience | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 18 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 August 2014.
All research outputs
#7,033,170
of 24,641,620 outputs
Outputs from BMC Medical Imaging
#85
of 642 outputs
Outputs of similar age
#62,965
of 234,922 outputs
Outputs of similar age from BMC Medical Imaging
#2
of 10 outputs
Altmetric has tracked 24,641,620 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 86% 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 234,922 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 73% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.