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Identification of candidate genes for human pituitary development by EST analysis

Overview of attention for article published in BMC Genomics, March 2009
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Identification of candidate genes for human pituitary development by EST analysis
Published in
BMC Genomics, March 2009
DOI 10.1186/1471-2164-10-109
Pubmed ID
Authors

Yueyun Ma, Xiaofei Qi, Jianjun Du, Shaojun Song, Dongyun Feng, Jia Qi, Zhidong Zhu, Xin Zhang, Huasheng Xiao, Zeguang Han, Xiaoke Hao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Romania 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Researcher 7 22%
Student > Master 6 19%
Professor > Associate Professor 2 6%
Student > Doctoral Student 1 3%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 44%
Biochemistry, Genetics and Molecular Biology 6 19%
Medicine and Dentistry 4 13%
Veterinary Science and Veterinary Medicine 2 6%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 5 16%
Attention Score in Context

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 14 July 2018.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from BMC Genomics
#3,603
of 10,651 outputs
Outputs of similar age
#33,294
of 95,147 outputs
Outputs of similar age from BMC Genomics
#8
of 27 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,651 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 95,147 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.