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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A scalable, fully automated process for construction of sequence-ready human exome targeted capture libraries
|
|---|---|
| Published in |
Genome Biology, January 2011
|
| DOI | 10.1186/gb-2011-12-1-r1 |
| Pubmed ID | |
| Authors |
Sheila Fisher, Andrew Barry, Justin Abreu, Brian Minie, Jillian Nolan, Toni M Delorey, Geneva Young, Timothy J Fennell, Alexander Allen, Lauren Ambrogio, Aaron M Berlin, Brendan Blumenstiel, Kristian Cibulskis, Dennis Friedrich, Ryan Johnson, Frank Juhn, Brian Reilly, Ramy Shammas, John Stalker, Sean M Sykes, Jon Thompson, John Walsh, Andrew Zimmer, Zac Zwirko, Stacey Gabriel, Robert Nicol, Chad Nusbaum |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| United States | 1 | 25% |
| Hong Kong | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 673 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| United Kingdom | 8 | 1% |
| Germany | 3 | <1% |
| Brazil | 3 | <1% |
| France | 2 | <1% |
| Norway | 2 | <1% |
| Senegal | 1 | <1% |
| Australia | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 630 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 237 | 35% |
| Student > Ph. D. Student | 137 | 20% |
| Student > Master | 60 | 9% |
| Other | 49 | 7% |
| Student > Bachelor | 30 | 4% |
| Other | 106 | 16% |
| Unknown | 54 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 346 | 51% |
| Biochemistry, Genetics and Molecular Biology | 135 | 20% |
| Medicine and Dentistry | 55 | 8% |
| Immunology and Microbiology | 17 | 3% |
| Chemistry | 11 | 2% |
| Other | 43 | 6% |
| Unknown | 66 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 05 March 2024.
All research outputs
#1,440,378
of 25,837,817 outputs
Outputs from Genome Biology
#1,136
of 4,513 outputs
Outputs of similar age
#7,275
of 195,420 outputs
Outputs of similar age from Genome Biology
#4
of 29 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 74% 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 195,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.