You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational prediction of associations between long non-coding RNAs and proteins
|
|---|---|
| Published in |
BMC Genomics, September 2013
|
| DOI | 10.1186/1471-2164-14-651 |
| Pubmed ID | |
| Authors |
Qiongshi Lu, Sijin Ren, Ming Lu, Yong Zhang, Dahai Zhu, Xuegong Zhang, Tingting Li |
| Abstract |
Though most of the transcripts are long non-coding RNAs (lncRNAs), little is known about their functions. lncRNAs usually function through interactions with proteins, which implies the importance of identifying the binding proteins of lncRNAs in understanding the molecular mechanisms underlying the functions of lncRNAs. Only a few approaches are available for predicting interactions between lncRNAs and proteins. In this study, we introduce a new method lncPro. |
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 % |
|---|---|---|
| United Kingdom | 3 | 60% |
| United States | 1 | 20% |
| France | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | <1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| Norway | 1 | <1% |
| Italy | 1 | <1% |
| New Caledonia | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 158 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 24% |
| Student > Master | 34 | 20% |
| Researcher | 24 | 14% |
| Student > Bachelor | 10 | 6% |
| Professor > Associate Professor | 10 | 6% |
| Other | 22 | 13% |
| Unknown | 27 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 52 | 31% |
| Agricultural and Biological Sciences | 49 | 29% |
| Computer Science | 17 | 10% |
| Immunology and Microbiology | 4 | 2% |
| Neuroscience | 4 | 2% |
| Other | 11 | 7% |
| Unknown | 31 | 18% |
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 25 September 2013.
All research outputs
#13,897,567
of 22,723,682 outputs
Outputs from BMC Genomics
#5,328
of 10,626 outputs
Outputs of similar age
#111,020
of 203,069 outputs
Outputs of similar age from BMC Genomics
#42
of 141 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 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 65% of its contemporaries.