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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genes2WordCloud: a quick way to identify biological themes from gene lists and free text
|
|---|---|
| Published in |
Source Code for Biology and Medicine, October 2011
|
| DOI | 10.1186/1751-0473-6-15 |
| Pubmed ID | |
| Authors |
Caroline Baroukh, Sherry L Jenkins, Ruth Dannenfelser, Avi Ma'ayan |
| Abstract |
Word-clouds recently emerged on the web as a solution for quickly summarizing text by maximizing the display of most relevant terms about a specific topic in the minimum amount of space. As biologists are faced with the daunting amount of new research data commonly presented in textual formats, word-clouds can be used to summarize and represent biological and/or biomedical content for various applications. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 5% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 59 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 25% |
| Researcher | 14 | 22% |
| Student > Ph. D. Student | 14 | 22% |
| Other | 3 | 5% |
| Student > Postgraduate | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 26% |
| Computer Science | 9 | 14% |
| Arts and Humanities | 6 | 9% |
| Medicine and Dentistry | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 14 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 January 2016.
All research outputs
#13,123,643
of 22,653,392 outputs
Outputs from Source Code for Biology and Medicine
#58
of 127 outputs
Outputs of similar age
#83,980
of 135,895 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 2 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 51% 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 135,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them