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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Serum metabolomics as a novel diagnostic approach for pancreatic cancer
|
|---|---|
| Published in |
Metabolomics, June 2010
|
| DOI | 10.1007/s11306-010-0224-9 |
| Authors |
Shin Nishiumi, Masakazu Shinohara, Atsuki Ikeda, Tomoo Yoshie, Naoya Hatano, Saori Kakuyama, Shigeto Mizuno, Tsuyoshi Sanuki, Hiromu Kutsumi, Eiichiro Fukusaki, Takeshi Azuma, Tadaomi Takenawa, Masaru Yoshida |
X Demographics
The data shown below were collected from the profile of 1 X user 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Montenegro | 1 | <1% |
| United States | 1 | <1% |
| China | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 112 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 23% |
| Student > Ph. D. Student | 22 | 19% |
| Student > Bachelor | 14 | 12% |
| Student > Master | 13 | 11% |
| Other | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 16 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 31% |
| Chemistry | 19 | 16% |
| Medicine and Dentistry | 14 | 12% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Computer Science | 4 | 3% |
| Other | 16 | 14% |
| Unknown | 17 | 15% |
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 12 June 2019.
All research outputs
#6,405,958
of 22,757,541 outputs
Outputs from Metabolomics
#387
of 1,292 outputs
Outputs of similar age
#29,241
of 94,011 outputs
Outputs of similar age from Metabolomics
#2
of 4 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 94,011 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 66% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.