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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolic phenotypes in primary unknown metastatic carcinoma
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2014
|
| DOI | 10.1186/1479-5876-12-2 |
| Pubmed ID | |
| Authors |
Hye Min Kim, Do Hee Kim, Woo Hee Jung, Ja Seung Koo |
| Abstract |
The purpose of this study is to evaluate expression of metabolism-related proteins in primary unknown metastatic carcinoma (PUMC) and associated implications for treatment. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Student > Bachelor | 3 | 25% |
| Student > Master | 2 | 17% |
| Researcher | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 33% |
| Medicine and Dentistry | 3 | 25% |
| Nursing and Health Professions | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Neuroscience | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 December 2017.
All research outputs
#7,194,225
of 22,738,543 outputs
Outputs from Journal of Translational Medicine
#1,156
of 3,975 outputs
Outputs of similar age
#87,632
of 304,804 outputs
Outputs of similar age from Journal of Translational Medicine
#40
of 114 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 69% 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 304,804 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 70% of its contemporaries.
We're also able to compare this research output to 114 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 57% of its contemporaries.