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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MicroRNA-130b functions as an oncomiRNA in non-small cell lung cancer by targeting tissue inhibitor of metalloproteinase-2
|
|---|---|
| Published in |
Scientific Reports, May 2019
|
| DOI | 10.1038/s41598-019-43355-8 |
| Pubmed ID | |
| Authors |
Takayuki Hirono, Kentaro Jingushi, Toshiyuki Nagata, Masami Sato, Kentaro Minami, Masaya Aoki, Aya Harada Takeda, Tadashi Umehara, Hiroshi Egawa, Yoshino Nakatsuji, Kaori Kitae, Yuko Ueda, Hiroaki Hase, Masatatsu Yamamoto, Yoshinari Shinsato, Kohichi Kawahara, Tatsuhiko Furukawa, Kazutake Tsujikawa |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| Ireland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Researcher | 6 | 20% |
| Unspecified | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Medicine and Dentistry | 6 | 20% |
| Unspecified | 3 | 10% |
| Linguistics | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 6 | 20% |
| Unknown | 6 | 20% |
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 16 May 2019.
All research outputs
#7,076,162
of 23,144,579 outputs
Outputs from Scientific Reports
#47,876
of 125,136 outputs
Outputs of similar age
#129,368
of 350,009 outputs
Outputs of similar age from Scientific Reports
#1,257
of 2,978 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 125,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 60% 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 350,009 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 62% of its contemporaries.
We're also able to compare this research output to 2,978 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.