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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long non-coding RNA expression profile in human gastric cancer and its clinical significances
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2013
|
| DOI | 10.1186/1479-5876-11-225 |
| Pubmed ID | |
| Authors |
Haojun Song, Weiliang Sun, Guoliang Ye, Xiaoyun Ding, Zhong Liu, Sijie Zhang, Tian Xia, Bingxiu Xiao, Yang Xi, Junming Guo |
| Abstract |
Long non-coding RNAs (lncRNAs) are prevalently transcribed in the genome yet their potential roles in human cancers are not well understood. The aim of the present study was to determine the lncRNA expression profile in gastric cancer and its potential clinical value. |
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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 23% |
| Student > Master | 12 | 14% |
| Student > Bachelor | 12 | 14% |
| Researcher | 9 | 11% |
| Professor | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 13 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 25% |
| Biochemistry, Genetics and Molecular Biology | 20 | 24% |
| Agricultural and Biological Sciences | 17 | 20% |
| Unspecified | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 16 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 25 September 2013.
All research outputs
#4,088,695
of 22,723,682 outputs
Outputs from Journal of Translational Medicine
#653
of 3,973 outputs
Outputs of similar age
#37,259
of 203,069 outputs
Outputs of similar age from Journal of Translational Medicine
#7
of 64 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,973 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 done well, scoring higher than 83% 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 203,069 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.