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X Demographics
Mendeley readers
Attention Score in Context
Title |
MALAT1 long non-coding RNA is overexpressed in multiple myeloma and may serve as a marker to predict disease progression
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Published in |
BMC Cancer, November 2014
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DOI | 10.1186/1471-2407-14-809 |
Pubmed ID | |
Authors |
Shih-Feng Cho, Yuli Christine Chang, Chao-Sung Chang, Sheng-Fung Lin, Yi-Chang Liu, Hui-Hua Hsiao, Jan-Gowth Chang, Ta-Chih Liu |
Abstract |
The pathogenesis of multiple myeloma involves complex genetic and epigenetic events. This study aimed to investigate the role and clinical relevance of the long non-coding RNA (lncRNA), metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in multiple myeloma. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Unknown | 65 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 17% |
Researcher | 9 | 14% |
Student > Bachelor | 9 | 14% |
Student > Master | 6 | 9% |
Student > Postgraduate | 4 | 6% |
Other | 10 | 15% |
Unknown | 17 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 26% |
Medicine and Dentistry | 16 | 24% |
Agricultural and Biological Sciences | 12 | 18% |
Immunology and Microbiology | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 3% |
Unknown | 17 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 November 2014.
All research outputs
#14,789,079
of 22,769,322 outputs
Outputs from BMC Cancer
#3,661
of 8,280 outputs
Outputs of similar age
#145,010
of 262,191 outputs
Outputs of similar age from BMC Cancer
#101
of 210 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,280 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% 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 262,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.