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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mojo Hand, a TALEN design tool for genome editing applications
|
|---|---|
| Published in |
BMC Bioinformatics, January 2013
|
| DOI | 10.1186/1471-2105-14-1 |
| Pubmed ID | |
| Authors |
Kevin L Neff, David P Argue, Alvin C Ma, Han B Lee, Karl J Clark, Stephen C Ekker |
| Abstract |
Recent studies of transcription activator-like (TAL) effector domains fused to nucleases (TALENs) demonstrate enormous potential for genome editing. Effective design of TALENs requires a combination of selecting appropriate genetic features, finding pairs of binding sites based on a consensus sequence, and, in some cases, identifying endogenous restriction sites for downstream molecular genetic applications. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Norway | 1 | 17% |
| Spain | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| United Kingdom | 2 | 1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Argentina | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 130 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 29% |
| Researcher | 31 | 22% |
| Student > Master | 18 | 13% |
| Student > Bachelor | 11 | 8% |
| Professor | 6 | 4% |
| Other | 18 | 13% |
| Unknown | 15 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 54% |
| Biochemistry, Genetics and Molecular Biology | 23 | 16% |
| Medicine and Dentistry | 5 | 4% |
| Computer Science | 4 | 3% |
| Neuroscience | 3 | 2% |
| Other | 12 | 9% |
| Unknown | 17 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 August 2020.
All research outputs
#4,577,277
of 22,693,205 outputs
Outputs from BMC Bioinformatics
#1,761
of 7,254 outputs
Outputs of similar age
#50,760
of 284,977 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 139 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 284,977 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 139 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 74% of its contemporaries.